How to correct for multiple comparisons when using fitlm function?

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Sara Woods
Sara Woods on 4 Dec 2024
Commented: Star Strider on 5 Dec 2024
Hi all!
I have the following table (table1) with 68 columns and 100 rows containing numerical and categorical data. I'm only interested in the numeric variable 'Height' and the categorical variables 'Sex', 'Age' and 'Treatment'.
load table1
% Let's summarise the content of the variables I'm interested in:
% Sex variable: Female and Male
% Age variable: Prepuberal and Adult
% Treatment variable: Drug and Control
% Height variable: Randomly assigned numerical values
I want to perform a linear model to look for 'Sex', 'Age' and 'Treatment' effects on 'Height'. Note that 'Sex', 'Age' and 'Treatment' are categorical variables, and the response variable 'Height' is numeric.
mdlsexandageandtreatment = fitlm(table1,'Height~Sex*Age*Treatment')
As I am performing multiple comparisons, how do I correct for them?
Thanks in advance!

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Accepted Answer

Star Strider
Star Strider on 4 Dec 2024
Moved: Star Strider on 5 Dec 2024
Ran in:
None of the linear regression coefficients are even remotely significant (other than the Intercept).
A linear regression is likely not the best way to approach this, and some sort of analysis-of-variance diesign might be better. Also, there are 22 ‘Control’ subjects and 78 ‘Drug’ subjects. (I would also be a bit hesitant in comparing ‘Adult’ and ‘Prepubertal’ subjects, however I have no idea what you’re testing.)
load table1
disp(table1)
Height Power Size r14 r15 r16 r17 r18 r19 r110 r111 r112 r113 r114 r115 r116 r117 r118 r119 r120 r121 r122 r123 r124 r125 r126 r127 r128 r129 r130 r131 r132 r133 r134 r135 r136 r137 r138 r139 r140 r141 r142 r143 r144 r145 r146 r147 r148 r149 r150 r151 r152 r153 r154 r155 r156 r157 r158 r159 r160 r161 r162 r163 r164 r165 Sex Age Treatment _________ _________ _________ ________ _________ _________ ________ _________ _________ _________ ________ ________ ________ __________ _________ ________ _________ ________ _________ ________ _________ _________ ________ _________ _________ ________ _________ _________ _________ _________ ________ ________ ________ ________ _________ ________ ________ ________ _________ __________ ________ ________ __________ _________ ________ _________ _________ _________ ________ _________ ________ _________ _________ _________ ________ __________ __________ _________ _________ ________ __________ _________ ________ _________ ________ ________ ____________ _________ 0.025387 0.71957 0.85503 0.3496 0.52423 0.8926 0.49866 0.68603 0.64238 0.58448 0.14483 0.1879 0.30112 0.4341 0.93782 0.97032 0.76855 0.3632 0.29078 0.5167 0.045011 0.60748 0.059537 0.76544 0.67994 0.15925 0.22171 0.43476 0.16587 0.97473 0.81755 0.18088 0.42662 0.68719 0.58958 0.39614 0.69458 0.96922 0.82204 0.17902 0.48411 0.11847 0.73629 0.83237 0.40501 0.98477 0.73063 0.98959 0.97858 0.035853 0.24601 0.38343 0.15718 0.82844 0.13538 0.58741 0.25485 0.93702 0.45625 0.32384 0.51827 0.99501 0.32488 0.68865 0.90142 "Female" "Prepuberal" "Drug" 0.82025 0.12536 0.46544 0.55826 0.11287 0.10276 0.986 0.23428 0.4201 0.92476 0.057828 0.2155 0.29806 0.024434 0.47877 0.66919 0.74156 0.78856 0.43052 0.53815 0.17077 0.53879 0.91976 0.38416 0.9349 0.50677 0.067072 0.17438 0.70882 0.52964 0.9801 0.073545 0.61557 0.26003 0.81519 0.82266 0.74175 0.6532 0.68658 0.60892 0.14475 0.91897 0.65669 0.49648 0.55447 0.20513 0.29351 0.46572 0.13219 0.13971 0.26608 0.55049 0.61666 0.10688 0.2156 0.3252 0.91219 0.33342 0.038449 0.59708 0.56019 0.21038 0.66529 0.48798 0.31029 "Female" "Prepuberal" "Drug" 0.43267 0.42989 0.26485 0.54807 0.65023 0.21205 0.9049 0.49735 0.54591 0.16612 0.13494 0.48531 0.82593 0.50436 0.56983 0.33181 0.21735 0.87966 0.55027 0.27151 0.92578 0.22635 0.17172 0.21863 0.63641 0.78717 0.70565 0.58321 0.1667 0.28837 0.75168 0.98803 0.24301 0.73563 0.55513 0.52503 0.39693 0.77141 0.46916 0.72796 0.51167 0.62398 0.8911 0.96322 0.61827 0.77975 0.78456 0.3638 0.55058 0.72544 0.13207 0.38544 0.52845 0.61714 0.77473 0.99485 0.36755 0.36091 0.38002 0.97711 0.24551 0.41573 0.49785 0.35735 0.67931 "Female" "Prepuberal" "Drug" 0.088707 0.016353 0.62948 0.42127 0.19089 0.70161 0.57521 0.79058 0.1823 0.37436 0.01478 0.2195 0.1364 0.87648 0.9928 0.45789 0.39732 0.67651 0.12246 0.37826 0.10862 0.91994 0.088046 0.56332 0.6487 0.76204 0.87593 0.19104 0.079331 0.19621 0.90974 0.42791 0.84472 0.47862 0.81457 0.10274 0.34659 0.41517 0.88794 0.87594 0.99353 0.25758 0.49108 0.84331 0.41746 0.84502 0.075819 0.090336 0.86344 0.87209 0.34421 0.66544 0.19122 0.56683 0.087186 0.20754 0.038034 0.74649 0.54649 0.45143 0.12831 0.16201 0.85769 0.43149 0.45919 "Female" "Adult" "Control" 0.93508 0.07102 0.56273 0.3855 0.85694 0.36135 0.76652 0.38023 0.23627 0.25941 0.18912 0.93687 0.81458 0.90825 0.40413 0.024949 0.26256 0.54524 0.13043 0.51215 0.83415 0.936 0.30454 0.22063 0.38261 0.93432 0.27748 0.38364 0.63408 0.21537 0.60851 0.75898 0.8828 0.87137 0.038354 0.048383 0.054359 0.14907 0.98236 0.47332 0.76257 0.9513 0.34178 0.1139 0.84488 0.46129 0.47168 0.8442 0.68254 0.3741 0.75439 0.014714 0.75975 0.26094 0.40038 0.28625 0.65083 0.86393 0.068258 0.49631 0.61048 0.24972 0.74863 0.20619 0.66418 "Male" "Prepuberal" "Drug" 0.39078 0.71031 0.54116 0.38066 0.94285 0.0013957 0.74677 0.21858 0.20541 0.83048 0.070862 0.27762 0.86109 0.2852 0.21984 0.5231 0.078639 0.89889 0.22879 0.51542 0.15182 0.48863 0.6716 0.16264 0.027874 0.79518 0.6928 0.88218 0.55148 0.43766 0.4592 0.92317 0.92826 0.32255 0.84849 0.93888 0.37487 0.49432 0.032336 0.75221 0.96602 0.046206 0.96271 0.93618 0.55151 0.67913 0.39916 0.41371 0.034969 0.21619 0.88924 0.81312 0.615 0.0023081 0.59011 0.83311 0.81637 0.022054 0.21323 0.97166 0.61357 0.39371 0.39792 0.54485 0.6829 "Female" "Prepuberal" "Drug" 0.58793 0.80295 0.39331 0.28073 0.10345 0.38431 0.69533 0.72267 0.25969 0.070177 0.03786 0.9531 0.55294 0.1327 0.8665 0.98919 0.22012 0.099493 0.10692 0.46893 0.85588 0.69763 0.20444 0.39964 0.59307 0.45426 0.13901 0.0018414 0.77227 0.56695 0.045914 0.87212 0.56263 0.56102 0.11449 0.61474 0.36686 0.84869 0.82477 0.18105 0.92988 0.020927 0.12494 0.68836 0.81315 0.79715 0.91111 0.75736 0.4402 0.57601 0.71044 0.34986 0.15206 0.28726 0.19652 0.77025 0.08375 0.84952 0.7719 0.763 0.23493 0.34017 0.51411 0.9575 0.24233 "Male" "Prepuberal" "Control" 0.23984 0.9102 0.42046 0.17991 0.29644 0.32014 0.67732 0.77283 0.94263 0.28103 0.30787 0.81493 0.01853 0.00013254 0.68902 0.72336 0.48499 0.090939 0.093037 0.15417 0.59857 0.51659 0.97481 0.020395 0.73131 0.3444 0.37477 0.6802 0.054883 0.91558 0.59967 0.96336 0.30299 0.24585 0.15117 0.9919 0.28417 0.67779 0.65932 0.021336 0.23649 0.08805 0.20861 0.30711 0.3154 0.23557 0.42802 0.55403 0.43983 0.025647 0.24648 0.71552 0.45464 0.82127 0.69681 0.20058 0.011481 0.80763 0.63038 0.97977 0.85761 0.92852 0.58376 0.18701 0.54373 "Female" "Prepuberal" "Drug" 0.65357 0.91212 0.13712 0.12728 0.79903 0.39335 0.2824 0.69328 0.64157 0.55504 0.51574 0.3496 0.50782 0.31796 0.17147 0.39694 0.5153 0.034239 0.18857 0.21513 0.19777 0.28523 0.03956 0.42327 0.65312 0.13286 0.83588 0.28251 0.046642 0.3161 0.78142 0.29676 0.77015 0.13449 0.72803 0.47678 0.91439 0.44593 0.44828 0.12927 0.097522 0.51784 0.15497 0.86065 0.85936 0.75223 0.94508 0.47624 0.76611 0.043505 0.45139 0.95889 0.6821 0.89512 0.59297 0.76477 0.36562 0.54278 0.80872 0.20283 0.1153 0.45272 0.50824 0.7702 0.16423 "Female" "Prepuberal" "Drug" 0.36653 0.62954 0.29218 0.01569 0.44171 0.18125 0.58187 0.61967 0.82906 0.61897 0.39351 0.021606 0.71365 0.53011 0.0090237 0.59073 0.83901 0.32417 0.6835 0.64517 0.79753 0.0094505 0.49179 0.0032733 0.061962 0.56123 0.69575 0.82141 0.58251 0.28102 0.81805 0.71004 0.50722 0.23761 0.20197 0.98266 0.66015 0.49708 0.57372 0.86005 0.40977 0.87866 0.8076 0.94846 0.21737 0.92006 0.40453 0.26659 0.99984 0.93345 0.93122 0.50742 0.28126 0.99581 0.46419 0.61592 0.41277 0.43378 0.02149 0.031669 0.88252 0.52657 0.73387 0.83738 0.90659 "Female" "Prepuberal" "Drug" 0.48125 0.13149 0.0073232 0.75309 0.49252 0.20938 0.61887 0.7623 0.38876 0.40979 0.9952 0.34101 0.69775 0.82918 0.16908 0.57318 0.41315 0.16607 0.54148 0.60614 0.78739 0.29295 0.64093 0.04486 0.15304 0.20762 0.6949 0.29411 0.76174 0.6189 0.22308 0.9011 0.61259 0.36367 0.73801 0.57207 0.42553 0.15613 0.79792 0.79671 0.13117 0.40218 0.067367 0.68184 0.11536 0.99464 0.2425 0.13528 0.25747 0.40165 0.61567 0.66617 0.62486 0.0084384 0.24115 0.96427 0.41602 0.60244 0.011757 0.15815 0.38891 0.50115 0.72859 0.90831 0.57272 "Male" "Prepuberal" "Drug" 0.40169 0.062137 0.9327 0.50496 0.029516 0.59372 0.81424 0.51148 0.16841 0.25843 0.4396 0.3844 0.89346 0.67358 0.20639 0.50767 0.40218 0.99808 0.52141 0.18235 0.095585 0.66648 0.40502 0.18912 0.75565 0.11801 0.85336 0.3901 0.18526 0.22044 0.7329 0.8742 0.68658 0.68809 0.86717 0.2325 0.6251 0.69787 0.63276 0.18759 0.75457 0.56132 0.4906 0.5632 0.085872 0.88296 0.87262 0.077701 0.88581 0.78492 0.25829 0.42947 0.94173 0.73284 0.41277 0.50369 0.46338 0.33511 0.3988 0.7197 0.29982 0.81033 0.19413 0.63066 0.84528 "Female" "Prepuberal" "Drug" 0.3338 0.77754 0.60926 0.72211 0.57264 0.59447 0.015987 0.32941 0.74012 0.41675 0.15144 0.09329 0.70118 0.91301 0.90162 0.14555 0.95269 0.41549 0.94182 0.86769 0.17145 0.15509 0.057082 0.20134 0.49583 0.76765 0.29459 0.95108 0.53596 0.17202 0.67756 0.8286 0.083905 0.03902 0.20904 0.11702 0.60012 0.20469 0.7897 0.17122 0.3481 0.59816 0.59842 0.14997 0.15463 0.5034 0.49399 0.84659 0.049722 0.24263 0.6311 0.8495 0.5668 0.084617 0.77049 0.4787 0.46601 0.77811 0.2097 0.77728 0.75291 0.80484 0.45489 0.59359 0.9757 "Female" "Prepuberal" "Drug" 0.26759 0.74215 0.89185 0.7611 0.57246 0.17247 0.21435 0.0013441 0.8728 0.38206 0.77805 0.96925 0.93729 0.75614 0.70914 0.29095 0.3351 0.75433 0.6375 0.52772 0.60281 0.22558 0.63034 0.60035 0.38437 0.45726 0.65097 0.83525 0.5737 0.016418 0.9721 0.035209 0.71411 0.68873 0.72876 0.13038 0.98051 0.67737 0.059559 0.67557 0.44978 0.075051 0.36502 0.98621 0.80218 0.0058802 0.42357 0.33704 0.33166 0.60854 0.69553 0.65423 0.69312 0.63335 0.035339 0.5857 0.54816 0.09672 0.58791 0.64496 0.26517 0.11782 0.51862 0.7726 0.79637 "Female" "Adult" "Drug" 0.76784 0.62593 0.42082 0.26895 0.74169 0.933 0.98787 0.58064 0.35552 0.096334 0.74117 0.19004 0.010893 0.16851 0.13193 0.50114 0.13375 0.69331 0.71856 0.97454 0.3251 0.87762 0.21458 0.23172 0.28832 0.72584 0.29863 0.89022 0.60494 0.51633 0.4116 0.90614 0.29838 0.26082 0.6133 0.74182 0.76433 0.12451 0.38941 0.39989 0.19934 0.39149 0.68856 0.81502 0.96447 0.015086 0.55237 0.67399 0.72955 0.89318 0.40366 0.50426 0.97859 0.80509 0.60755 0.97959 0.53269 0.45195 0.82272 0.33806 0.52555 0.61835 0.14909 0.27307 0.55412 "Female" "Prepuberal" "Control" 0.24038 0.7291 0.40018 0.19362 0.076606 0.056217 0.81734 0.17184 0.17883 0.13128 0.087644 0.16462 0.81974 0.96402 0.4252 0.14187 0.69544 0.77064 0.42444 0.28548 0.26728 0.60573 0.62971 0.56655 0.18637 0.10673 0.94468 0.93259 0.040792 0.0024162 0.051227 0.62793 0.23319 0.85659 0.51297 0.13831 0.7189 0.59547 0.42023 0.93553 0.73652 0.35499 0.85691 0.91222 0.19679 0.095937 0.24857 0.10443 0.4987 0.62942 0.19348 0.36852 0.89912 0.82996 0.079474 0.3491 0.50769 0.76195 0.74908 0.65465 0.22923 0.77273 0.78194 0.0082376 0.87311 "Male" "Prepuberal" "Drug" 0.96128 0.20301 0.55393 0.064149 0.78717 0.20172 0.63208 0.19491 0.99642 0.6099 0.47043 0.50703 0.034268 0.34827 0.66145 0.40638 0.92277 0.91226 0.24836 0.94908 0.7893 0.64681 0.39456 0.55075 0.94734 0.43914 0.78079 0.12936 0.27012 0.556 0.31527 0.5726 0.31744 0.54611 0.95934 0.18715 0.88066 0.77292 0.66407 0.47624 0.20337 0.24479 0.90064 0.68397 0.77805 0.78696 0.25716 0.58737 0.54666 0.92415 0.30707 0.68525 0.64848 0.56722 0.41538 0.261 0.78109 0.62583 0.92914 0.045656 0.056386 0.28484 0.16543 0.26842 0.26755 "Female" "Prepuberal" "Drug" 0.92355 0.79499 0.59626 0.42537 0.19349 0.50825 0.68215 0.15032 0.95913 0.65619 0.29283 0.50824 0.51616 0.59849 0.32238 0.5931 0.48752 0.31068 0.93599 0.60761 0.61661 0.069183 0.79611 0.33801 0.39806 0.55739 0.82502 0.34829 0.17895 0.55573 0.31476 0.73819 0.28202 0.4605 0.18444 0.39648 0.01065 0.57958 0.63447 0.40224 0.76816 0.10803 0.9515 0.30303 0.026483 0.55359 0.20974 0.1148 0.22464 0.9958 0.69295 0.099208 0.98292 0.26004 0.98548 0.58994 0.28997 0.0014915 0.52455 0.86748 0.82778 0.26912 0.49522 0.53385 0.94107 "Female" "Adult" "Drug" 0.27425 0.97457 0.50628 0.70215 0.53093 0.75921 0.80822 0.50542 0.156 0.841 0.40685 0.051478 0.65333 0.73139 0.59744 0.80938 0.50569 0.20472 0.80213 0.77649 0.68646 0.21855 0.87904 0.98992 0.13915 0.85558 0.73618 0.71361 0.52773 0.073732 0.49274 0.50822 0.25056 0.15267 0.20074 0.336 0.57154 0.68393 0.8853 0.19002 0.24128 0.11229 0.90005 0.7318 0.11388 0.71952 0.58062 0.24935 0.12298 0.15009 0.63036 0.047647 0.16381 0.78453 0.84265 0.74538 0.5505 0.017172 0.53865 0.10296 0.11581 0.46612 0.25918 0.22514 0.99026 "Male" "Prepuberal" "Control" 0.22328 0.42014 0.58721 0.97732 0.92413 0.14605 0.27966 0.017387 0.92894 0.49982 0.43024 0.36701 0.75413 0.87082 0.21065 0.4706 0.0046258 0.072879 0.76163 0.063482 0.69743 0.77999 0.78008 0.14836 0.54137 0.91193 0.79367 0.62515 0.73508 0.39691 0.055631 0.86483 0.12354 0.25579 0.65912 0.45872 0.9716 0.4273 0.61151 0.33707 0.61373 0.2672 0.0065369 0.27621 0.18662 0.22848 0.83515 0.41417 0.48521 0.024797 0.24982 0.86934 0.50979 0.16921 0.052403 0.081984 0.57467 0.45685 0.66729 0.94697 0.54192 0.37125 0.62176 0.91249 0.91737 "Female" "Prepuberal" "Drug" 0.25212 0.24572 0.13282 0.55158 0.98606 0.93107 0.66497 0.47121 0.42457 0.3072 0.87126 0.5848 0.28 0.3334 0.18962 0.67412 0.18847 0.5872 0.061753 0.59116 0.93202 0.62908 0.70248 0.85129 0.030516 0.35133 0.40516 0.83362 0.91763 0.7722 0.094983 0.14024 0.66814 0.39165 0.73911 0.10292 0.53363 0.27681 0.61535 0.44098 0.34577 0.26639 0.041932 0.61524 0.92541 0.012692 0.85266 0.71547 0.87404 0.91126 0.043422 0.65187 0.62735 0.27426 0.72752 0.37496 0.20389 0.22156 0.87126 0.3795 0.62468 0.47924 0.45711 0.11274 0.037202 "Female" "Adult" "Drug" 0.24699 0.48012 0.7616 0.043807 0.97529 0.42195 0.029324 0.046077 0.22308 0.16976 0.70725 0.99475 0.60305 0.46304 0.20832 0.75718 0.77964 0.54249 0.90665 0.89976 0.12019 0.070616 0.42067 0.78718 0.54845 0.37236 0.13061 0.2205 0.030598 0.57254 0.23908 0.65714 0.27839 0.96461 0.37437 0.17047 0.062717 0.97804 0.87716 0.13798 0.72263 0.93608 0.87089 0.29485 0.54971 0.12022 0.6439 0.86967 0.64143 0.148 0.53145 0.61046 0.8 0.0049032 0.11496 0.087008 0.55524 0.37142 0.18132 0.13452 0.00037582 0.43821 0.25546 0.26634 0.58598 "Male" "Adult" "Drug" 0.23958 0.66897 0.65114 0.58215 0.30477 0.056499 0.54438 0.44227 0.1364 0.048765 0.014297 0.43513 0.88878 0.16689 0.71335 0.1821 0.61083 0.64409 0.65563 0.50979 0.60689 0.65722 0.64386 0.5243 0.39659 0.10224 0.15956 0.31932 0.82422 0.40307 0.78244 0.59299 0.24757 0.51942 0.97608 0.6414 0.5647 0.96492 0.76686 0.98034 0.11722 0.18618 0.4444 0.51828 0.031173 0.63298 0.98501 0.81543 0.44824 0.089943 0.1762 0.42195 0.41777 0.39756 0.48538 0.31815 0.21412 0.44123 0.69911 0.31288 0.16362 0.25523 0.5344 0.4798 0.42101 "Female" "Adult" "Drug" 0.42825 0.85238 0.35109 0.27838 0.75364 0.6742 0.52897 0.16356 0.26018 0.22582 0.024584 0.696 0.64323 0.46639 0.2527 0.61964 0.79246 0.59801 0.94795 0.53283 0.48987 0.51966 0.078309 0.018839 0.76095 0.65759 0.81664 0.21939 0.84739 0.52332 0.86883 0.51337 0.56877 0.12088 0.035211 0.78768 0.22813 0.72805 0.75009 0.43965 0.18079 0.50744 0.44254 0.73892 0.87656 0.015211 0.97898 0.23245 0.13714 0.71569 0.5219 0.50371 0.054834 0.026552 0.86859 0.45323 0.54916 0.06069 0.18891 0.89868 0.0095166 0.14114 0.091621 0.66093 0.045529 "Male" "Prepuberal" "Drug" 0.82593 0.94532 0.3126 0.54219 0.20636 0.27981 0.87316 0.5721 0.54447 0.36697 0.23699 0.016475 0.78606 0.45637 0.27002 0.76993 0.8379 0.45002 0.54524 0.79858 0.5297 0.94753 0.38075 0.26345 0.16278 0.21881 0.030554 0.028035 0.46964 0.39249 0.62398 0.24462 0.051348 0.91489 0.32825 0.37236 0.44058 0.72478 0.11562 0.80384 0.19386 0.14759 0.3306 0.74402 0.95021 0.94027 0.68263 0.34634 0.14116 0.17501 0.87128 0.16414 0.51914 0.8547 0.016704 0.16108 0.06977 0.36404 0.19982 0.78079 0.753 0.26617 0.56153 0.83595 0.92521 "Female" "Prepuberal" "Drug" 0.61719 0.12873 0.27425 0.44332 0.86138 0.78009 0.18761 0.81832 0.082208 0.56785 0.59827 0.15254 0.49114 0.12782 0.48176 0.42109 0.68736 0.16255 0.30532 0.6551 0.22187 0.020851 0.43769 0.99859 0.4681 0.86643 0.54399 0.68021 0.37032 0.067025 0.33252 0.97351 0.82317 0.45661 0.65096 0.3066 0.098906 0.64496 0.20409 0.81767 0.36055 0.9207 0.93967 0.40346 0.4828 0.99957 0.78548 0.96061 0.9826 0.15972 0.61361 0.093172 0.13453 0.20489 0.81891 0.059868 0.86045 0.37687 0.77097 0.19304 0.70371 0.34848 0.8522 0.63471 0.75135 "Male" "Prepuberal" "Drug" 0.19387 0.69665 0.14953 0.11721 0.65784 0.96284 0.93146 0.085342 0.59813 0.56972 0.9262 0.89954 0.40346 0.63993 0.22067 0.43899 0.081434 0.76492 0.088516 0.46306 0.74818 0.72872 0.40695 0.71054 0.59364 0.3934 0.8235 0.28615 0.075637 0.77852 0.27125 0.91621 0.036945 0.90468 0.03935 0.89764 0.12712 0.08585 0.11626 0.23153 0.40439 0.92946 0.71284 0.16093 0.4329 0.37822 0.3488 0.30131 0.97188 0.47893 0.27143 0.68532 0.36697 0.86035 0.78387 0.44487 0.20838 0.30124 0.5299 0.17394 0.35634 0.25252 0.72749 0.80684 0.060399 "Male" "Prepuberal" "Control" 0.80808 0.080084 0.33435 0.37994 0.10221 0.68824 0.97635 0.23284 0.029186 0.77878 0.33441 0.046376 0.87744 0.89649 0.35466 0.48878 0.80614 0.9833 0.42153 0.55732 0.25815 0.39852 0.27379 0.21809 0.085334 0.45388 0.9484 0.030791 0.16996 0.76431 0.031974 0.65201 0.26717 0.2919 0.13562 0.72439 0.80163 0.5279 0.84146 0.64126 0.22578 0.13675 0.93891 0.022401 0.61981 0.89521 0.78051 0.1542 0.42889 0.94873 0.85454 0.14267 0.69662 0.056125 0.19371 0.28527 0.23863 0.91839 0.0047146 0.89332 0.67041 0.017718 0.5387 0.57242 0.72213 "Female" "Adult" "Drug" 0.98563 0.10356 0.83303 0.76483 0.58046 0.49842 0.3312 0.24605 0.45491 0.59024 0.44303 0.029327 0.70818 0.42743 0.63773 0.21683 0.13478 0.14315 0.36753 0.74303 0.19911 0.68725 0.23135 0.64161 0.49714 0.18175 0.46027 0.28445 0.67196 0.56853 0.86933 0.1105 0.30219 0.78219 0.23874 0.4067 0.25488 0.85154 0.38157 0.25781 0.66906 0.87157 0.53096 0.10588 0.23026 0.59005 0.046397 0.74444 0.75604 0.74107 0.15746 0.52871 0.12958 0.22351 0.91284 0.19918 0.38059 0.47735 0.95536 0.77076 0.090995 0.45075 0.67162 0.49171 0.28633 "Female" "Prepuberal" "Drug" 0.1486 0.1312 0.23358 0.91837 0.96349 0.099032 0.62371 0.35193 0.3325 0.11066 0.099138 0.57444 0.82649 0.17585 0.74975 0.83291 0.56991 0.8277 0.85253 0.51432 0.87152 0.073087 0.7379 0.12107 0.7769 0.067439 0.0695 0.11319 0.59013 0.61446 0.24765 0.51463 0.6623 0.055907 0.85936 0.18636 0.49993 0.20999 0.45405 0.12411 0.95721 0.012355 0.021803 0.932 0.70055 0.83506 0.35283 0.28289 0.55859 0.67233 0.25942 0.0035728 0.78585 0.045281 0.68369 0.50981 0.28737 0.18039 0.87728 0.79212 0.82265 0.90458 0.86068 0.80151 0.96447 "Female" "Prepuberal" "Drug" 0.85303 0.51506 0.069241 0.6927 0.84487 0.28775 0.52706 0.40908 0.94367 0.64068 0.71515 0.3404 0.01067 0.2949 0.49242 0.50154 0.57469 0.88113 0.98392 0.12078 0.027186 0.75805 0.8794 0.55668 0.13382 0.78455 0.5224 0.071623 0.66779 0.58887 0.98542 0.48105 0.62576 0.21304 0.91448 0.051584 0.523 0.82674 0.073887 0.40706 0.43167 0.72204 0.82039 0.61555 0.98099 0.48235 0.357 0.32884 0.75665 0.070345 0.67058 0.42506 0.050309 0.75099 0.88839 0.019478 0.75052 0.29704 0.87231 0.21356 0.42322 0.65706 0.55193 0.44105 0.14933 "Female" "Prepuberal" "Drug" 0.2386 0.48178 0.49473 0.97062 0.75311 0.53811 0.45908 0.11424 0.3031 0.072019 0.72164 0.2193 0.095557 0.058738 0.61739 0.10273 0.016103 0.07045 0.053853 0.26809 0.03634 0.050723 0.77249 0.78797 0.70019 0.80187 0.19586 0.58102 0.45026 0.61663 0.12759 0.068172 0.71234 0.77654 0.0076076 0.94396 0.019605 0.20641 0.025165 0.067692 0.80381 0.87859 0.2875 0.63328 0.16352 0.059441 0.12974 0.0013319 0.97592 0.30611 0.22596 0.22434 0.81562 0.69806 0.71287 0.8301 0.31894 0.8293 0.49403 0.19337 0.10159 0.14343 0.91068 0.04887 0.5972 "Female" "Prepuberal" "Drug" 0.41694 0.44588 0.12215 0.12616 0.70305 0.01133 0.35857 0.40721 0.42822 0.36585 0.78247 0.90399 0.54328 0.060173 0.31945 0.36436 0.93483 0.47787 0.35714 0.92486 0.43799 0.64241 0.035833 0.4145 0.83073 0.46342 0.29871 0.010961 0.79194 0.23978 0.53295 0.38884 0.27583 0.69681 0.24618 0.42062 0.87701 0.4755 0.96111 0.10976 0.79819 0.38745 0.86738 0.0066872 0.63078 0.46034 0.98225 0.56391 0.041874 0.93683 0.82597 0.65994 0.86694 0.91879 0.48489 0.20039 0.10737 0.61812 0.5311 0.64674 0.097589 0.2585 0.55675 0.98746 0.46517 "Female" "Adult" "Drug" 0.3224 0.79818 0.40262 0.64641 0.24662 0.28284 0.33427 0.67593 0.66103 0.2873 0.94205 0.68309 0.85622 0.02666 0.3025 0.8208 0.61478 0.73875 0.99907 0.5894 0.065688 0.50077 0.55432 0.083664 0.51315 0.85242 0.97572 0.8435 0.4558 0.79108 0.3786 0.8052 0.99608 0.90788 0.60973 0.59614 0.4601 0.29993 0.15839 0.52956 0.99524 0.24643 0.86021 0.21487 0.64179 0.31871 0.41575 0.44413 0.351 0.85694 0.3241 0.5031 0.1969 0.90892 0.83322 0.42656 0.80614 0.6636 0.032261 0.11129 0.10636 0.79126 0.85834 0.74925 0.41134 "Female" "Prepuberal" "Drug" 0.43404 0.52894 0.091214 0.38685 0.039941 0.58957 0.083195 0.54302 0.38109 0.74144 0.047568 0.37165 0.26436 0.55047 0.14179 0.12284 0.66857 0.73374 0.41502 0.53922 0.97939 0.53009 0.58817 0.58711 0.0048138 0.62565 0.16532 0.066062 0.89447 0.70565 0.78377 0.78666 0.30045 0.60888 0.98451 0.51354 0.97994 0.34497 0.93364 0.2115 0.2118 0.11172 0.55063 0.081003 0.63653 0.91016 0.40649 0.16136 0.47665 0.89085 0.48839 0.60006 0.60739 0.80552 0.090746 0.73309 0.25206 0.6162 0.75016 0.50591 0.6187 0.72738 0.45276 0.57864 0.88049 "Female" "Prepuberal" "Drug" 0.32742 0.66884 0.72055 0.56234 0.46211 0.17205 0.3904 0.35713 0.13617 0.066987 0.80035 0.40112 0.77555 0.56305 0.84434 0.64936 0.42177 0.81625 0.38065 0.93727 0.6289 0.73825 0.24619 0.63927 0.35671 0.18049 0.77735 0.4841 0.072557 0.73788 0.91409 0.11998 0.50127 0.54456 0.97931 0.89583 0.56947 0.92795 0.23677 0.025967 0.32902 0.84678 0.45724 0.16146 0.98721 0.89786 0.78269 0.70346 0.17494 0.58859 0.76372 0.20017 0.99668 0.99968 0.025492 0.5268 0.5039 0.26127 0.75835 0.68492 0.20099 0.82312 0.16062 0.33417 0.22489 "Female" "Adult" "Drug" 0.098969 0.48334 0.34234 0.19835 0.11737 0.1701 0.23934 0.66159 0.096627 0.75717 0.46679 0.20497 0.63792 0.3046 0.28815 0.73662 0.70277 0.53348 0.10458 0.25563 0.65633 0.27457 0.39839 0.12515 0.97302 0.03007 0.34138 0.1624 0.63544 0.13842 0.36112 0.41198 0.13232 0.75312 0.61919 0.18583 0.8743 0.030121 0.075554 0.99412 0.76234 0.65966 0.85002 0.091804 0.38691 0.65117 0.4332 0.54403 0.3559 0.16259 0.73768 0.1374 0.042374 0.80077 0.33573 0.2693 0.039851 0.8725 0.58356 0.15703 0.4232 0.9363 0.23722 0.59335 0.54296 "Female" "Prepuberal" "Control" 0.67117 0.33269 0.5663 0.39393 0.16162 0.67634 0.48627 0.6787 0.30516 0.24071 0.27914 0.2377 0.72506 0.75451 0.90883 0.71066 0.4707 0.56083 0.58961 0.9119 0.32791 0.23804 0.80678 0.86526 0.14466 0.12978 0.4741 0.42196 0.80862 0.0054903 0.91104 0.79807 0.89756 0.87726 0.94832 0.093502 0.24152 0.72004 0.67256 0.74464 0.75676 0.77966 0.34778 0.13413 0.26172 0.24605 0.57628 0.25462 0.88847 0.17605 0.63603 0.023789 0.13882 0.32292 0.48692 0.76784 0.62419 0.0053681 0.37012 0.37337 0.80902 0.19117 0.61174 0.90164 0.9476 "Female" "Adult" "Drug" 0.049359 0.2588 0.65451 0.34024 0.41976 0.56959 0.70009 0.13156 0.82388 0.23091 0.044721 0.88436 0.89465 0.6711 0.11321 0.10533 0.40889 0.34653 0.14632 0.55712 0.4755 0.75994 0.30184 0.48778 0.77477 0.31561 0.10024 0.86306 0.3211 0.73852 0.11912 0.25272 0.23794 0.89377 0.37376 0.056556 0.11756 0.37622 0.084327 0.98224 0.96128 0.35856 0.23846 0.071796 0.45781 0.23402 0.65047 0.39311 0.069153 0.74756 0.24914 0.93954 0.22295 0.025145 0.22536 0.95441 0.38744 0.36526 0.492 0.80837 0.32892 0.52694 0.43372 0.84295 0.65334 "Female" "Prepuberal" "Drug" 0.201 0.9737 0.6525 0.35648 0.66612 0.55167 0.13727 0.43962 0.62725 0.011988 0.78755 0.92124 0.76799 0.93984 0.61386 0.9586 0.98864 0.55076 0.37658 0.73868 0.016242 0.96009 0.48963 0.27602 0.36098 0.73153 0.060182 0.65641 0.53607 0.81079 0.034828 0.58748 0.06709 0.85583 0.22757 0.047637 0.1514 0.58803 0.062168 0.95138 0.56989 0.18414 0.050938 0.26885 0.11437 0.54843 0.033011 0.24462 0.092747 0.94529 0.73432 0.6955 0.58301 0.73282 0.55471 0.11769 0.30827 0.59197 0.52718 0.90932 0.27335 0.28061 0.60716 0.86842 0.034097 "Female" "Prepuberal" "Drug" 0.49914 0.26436 0.70086 0.37304 0.97315 0.96744 0.82647 0.9372 0.20593 0.13247 0.89912 0.78165 0.20685 0.48515 0.2839 0.42369 0.48525 0.021103 0.93635 0.68432 0.20003 0.16621 0.78129 0.31147 0.28158 0.77298 0.86172 0.96247 0.86608 0.56472 0.90451 0.036733 0.36562 0.68324 0.56818 0.68272 0.059494 0.32995 0.69517 0.47161 0.60851 0.01018 0.13496 0.040067 0.3581 0.39282 0.40401 0.58269 0.2058 0.65798 0.33951 0.55423 0.67111 0.47279 0.68115 0.024888 0.33205 0.92484 0.44872 0.16069 0.81883 0.40839 0.23666 0.10364 0.38886 "Female" "Prepuberal" "Drug" 0.27542 0.78994 0.3011 0.11536 0.27965 0.62842 0.93005 0.57022 0.98019 0.20939 0.77568 0.24192 0.043304 0.51809 0.50813 0.56011 0.11726 0.73677 0.70037 0.13971 0.85849 0.37859 0.44998 0.66657 0.54341 0.14857 0.070872 0.39576 0.53422 0.055682 0.93074 0.68163 0.98901 0.40761 0.56008 0.47551 0.20021 0.86493 0.002059 0.98754 0.36509 0.085915 0.57813 0.74408 0.78535 0.75479 0.95894 0.052743 0.6152 0.54383 0.30277 0.29541 0.7232 0.39259 0.83494 0.42204 0.93159 0.458 0.1424 0.73795 0.20647 0.23985 0.93352 0.78731 0.87392 "Female" "Prepuberal" "Drug" 0.4196 0.49707 0.085464 0.50121 0.53139 0.32455 0.82873 0.57764 0.43777 0.21418 0.83745 0.5836 0.15356 0.7892 0.53888 0.098783 0.85809 0.83397 0.24293 0.97349 0.06754 0.096802 0.83324 0.5001 0.40724 0.7958 0.8828 0.41193 0.79361 0.3231 0.59 0.82682 0.21202 0.047855 0.2811 0.92701 0.86824 0.85495 0.15686 0.85292 0.34355 0.32947 0.90437 0.94483 0.30512 0.39257 0.59552 0.60229 0.27343 0.59765 0.12714 0.042632 0.50444 0.86001 0.89587 0.064384 0.46799 0.42421 0.65274 0.5557 0.65457 0.35756 0.70341 0.40596 0.38831 "Female" "Prepuberal" "Control" 0.59699 0.32079 0.63344 0.81691 0.93069 0.52102 0.48495 0.7646 0.8352 0.90579 0.34442 0.20186 0.71831 0.57117 0.052151 0.48312 0.34198 0.83632 0.74212 0.42454 0.31075 0.93456 0.67667 0.44414 0.9203 0.16535 0.39384 0.77926 0.58623 0.93361 0.056448 0.69991 0.28753 0.23843 0.8722 0.41136 0.77087 0.5481 0.27455 0.30908 0.59999 0.30083 0.77117 0.22136 0.73067 0.26542 0.93308 0.039971 0.74779 0.2346 0.01014 0.85376 0.64463 0.057462 0.4376 0.1256 7.0993e-05 0.65496 0.67467 0.18786 0.57601 0.16432 0.67564 0.30697 0.74691 "Male" "Prepuberal" "Drug" 0.049145 0.61628 0.26643 0.34351 0.16666 0.86494 0.65977 0.24695 0.53918 0.27777 0.19119 0.12707 0.12864 0.76649 0.43708 0.15362 0.31638 0.03312 0.32664 0.076212 0.82662 0.80292 0.086629 0.32558 0.3569 0.7171 0.44005 0.90205 0.88151 0.85276 0.88216 0.35177 0.50459 0.013959 0.84564 0.87001 0.93187 0.043414 0.31523 0.95174 0.52563 0.50657 0.70414 0.60057 0.64508 0.34689 0.93704 0.86241 0.30573 0.81977 0.92493 0.59668 0.036369 0.38455 0.39966 0.092418 0.72578 0.76424 0.74976 0.69001 0.56371 0.0025297 0.39364 0.02652 0.74111 "Male" "Adult" "Drug" 0.88668 0.0068941 0.89425 0.49854 0.78925 0.99411 0.4564 0.69386 0.025127 0.097102 0.37844 0.68767 0.22079 0.92017 0.21873 0.30847 0.37753 0.91217 0.36996 0.10793 0.61187 0.73021 0.98072 0.56592 0.11251 0.078557 0.35073 0.66931 0.44318 0.68677 0.84952 0.48915 0.63057 0.3817 0.64798 0.71 0.080753 0.53358 0.71404 0.11365 0.48497 0.38661 0.42241 0.43609 0.83937 0.93426 0.75574 0.34311 0.76544 0.7885 0.91001 0.018527 0.19385 0.14184 0.44012 0.23269 0.39948 0.37964 0.30593 0.29982 0.31468 0.40666 0.6475 0.71046 0.22978 "Female" "Prepuberal" "Control" 0.8583 0.062934 0.30027 0.11802 0.10297 0.83849 0.41846 0.29486 0.0068243 0.78282 0.25633 0.91074 0.45356 0.21031 0.91834 0.13092 0.86988 0.094925 0.49279 0.97224 0.9146 0.79471 0.56643 0.015223 0.25508 0.39387 0.032351 0.17138 0.093164 0.16724 0.56874 0.28413 0.39318 0.90712 0.72367 0.94237 0.069891 0.82527 0.57179 0.11727 0.65565 0.9373 0.95786 0.17356 0.52061 0.37385 0.53891 0.11223 0.25289 0.58906 0.38215 0.93319 0.74955 0.045681 0.30963 0.21119 0.022924 0.45407 0.80435 0.63227 0.14566 0.27962 0.44926 0.84363 0.9238 "Male" "Prepuberal" "Drug" 0.085062 0.92002 0.71506 0.57552 0.88362 0.3474 0.034296 0.5707 0.78609 0.66752 0.021463 0.75094 0.46526 0.60811 0.69145 0.34352 0.53143 0.85091 0.20062 0.57035 0.88411 0.57357 0.20768 0.55283 0.15568 0.81583 0.72557 0.31978 0.9295 0.67966 0.46059 0.26597 0.67996 0.3036 0.26674 0.48017 0.97731 0.56627 0.51519 0.00069541 0.038252 0.15954 0.75559 0.19489 0.38141 0.48253 0.82429 0.59343 0.67102 0.43626 0.70139 0.0097883 0.30818 0.69799 0.44695 0.60981 0.63774 0.6438 0.29997 0.23578 0.13022 0.17728 0.98997 0.049888 0.17204 "Male" "Adult" "Drug" 0.17742 0.90616 0.33035 0.51546 0.52224 0.74941 0.92685 0.6348 0.44739 0.61267 0.29328 0.82291 0.089786 0.46573 0.11593 0.66306 0.025156 0.5222 0.28757 0.48382 0.24531 0.36169 0.095609 0.93582 0.81311 0.52998 0.35349 0.27121 0.41857 0.079569 0.067605 0.76493 0.13003 0.86733 0.12199 0.43461 0.5217 0.21924 0.57733 0.30316 0.18992 0.77971 0.366 0.18912 0.61925 0.23821 0.010747 0.63008 0.13191 0.54974 0.67234 0.64096 0.74905 0.91351 0.96439 0.39453 0.43935 0.73515 0.27409 0.48934 0.84267 0.58566 0.093615 0.24563 0.83025 "Female" "Prepuberal" "Control" 0.013399 0.83154 0.36487 0.35528 0.97413 0.93941 0.04338 0.39889 0.28874 0.34379 0.24042 0.22512 0.50673 0.6167 0.35962 0.5162 0.24836 0.016366 0.29259 0.64499 0.9582 0.16133 0.062521 0.48177 0.62964 0.94736 0.64106 0.2308 0.5267 0.561 0.38321 0.58438 0.070238 0.14717 0.15085 0.51207 0.7877 0.32334 0.0049427 0.36918 0.92875 0.17746 0.55061 0.92989 0.60476 0.53125 0.74652 0.78138 0.94245 0.35297 0.12767 0.78869 0.85204 0.38355 0.46235 0.7267 0.59177 0.63382 0.27048 0.75826 0.47461 0.72152 0.46837 0.95016 0.41084 "Female" "Adult" "Drug" 0.58999 0.91367 0.59235 0.86335 0.7561 0.66808 0.47606 0.24888 0.86318 0.69034 0.20259 0.38675 0.076509 0.20309 0.30606 0.79667 0.72368 0.12918 0.42984 0.2182 0.4523 0.88637 0.025782 0.32848 0.65937 0.31668 0.77159 0.70249 0.69094 0.45904 0.7404 0.53856 0.045384 0.30991 0.66791 0.52449 0.30975 0.065043 0.35223 0.12034 0.58298 0.80529 0.22143 0.49054 0.53555 0.21012 0.10303 0.73651 0.44458 0.99579 0.20097 0.5265 0.099355 0.24311 0.49599 0.9613 0.61798 0.78294 0.76349 0.62021 0.2317 0.72126 0.69368 0.11008 0.77034 "Female" "Prepuberal" "Drug" 0.70786 0.67916 0.90519 0.34401 0.72257 0.4812 0.38575 0.93533 0.65623 0.23356 0.34822 0.41869 0.16652 0.6776 0.30225 0.5766 0.43238 0.59317 0.47811 0.6949 0.88856 0.902 0.33413 0.80308 0.66412 0.57817 0.67708 0.30947 0.054657 0.66507 0.52233 0.99067 0.55393 0.41824 0.33655 0.46905 0.11852 0.37382 0.54473 0.71191 0.01541 0.56238 0.25594 0.79632 0.73011 0.29521 0.048411 0.7916 0.358 0.36496 0.90283 0.29125 0.59778 0.9071 0.02154 0.75022 0.4541 0.034487 0.31858 0.24778 0.78104 0.50859 0.94182 0.95797 0.34002 "Female" "Prepuberal" "Drug" 0.75892 0.77706 0.26453 0.45688 0.0026012 0.28616 0.53406 0.4489 0.28469 0.30803 0.53715 0.93579 0.74771 0.017316 0.56145 0.066874 0.26145 0.72179 0.93192 0.24576 0.46485 0.75858 0.55681 0.14347 0.54728 0.19023 0.48587 0.97387 0.34041 0.43411 0.49676 0.76916 0.89082 0.21018 0.61769 0.95854 0.48543 0.25853 0.092064 0.95751 0.29368 0.47007 0.73525 0.1848 0.37631 0.53199 0.18569 0.64871 0.1698 0.96617 0.89184 0.62833 0.7206 0.70202 0.19229 0.07874 0.049085 0.10086 0.357 0.65321 0.68242 0.32593 0.63151 0.34539 0.89134 "Female" "Prepuberal" "Drug" 0.21397 0.69367 0.94983 0.23809 0.20561 0.59516 0.99817 0.53178 0.64457 0.3573 0.12431 0.10555 0.33457 0.22661 0.7961 0.24848 0.18941 0.037025 0.83623 0.63362 0.58522 0.36179 0.84594 0.078623 0.28595 0.39226 0.81213 0.86244 0.79279 0.030703 0.8302 0.5861 0.58579 0.76745 0.77533 0.8561 0.41528 0.2606 0.27232 0.32229 0.04526 0.35961 0.31555 0.22778 0.12174 0.50758 0.47284 0.91191 0.49907 0.024741 0.37768 0.42547 0.56871 0.89564 0.89813 0.86795 0.71969 0.041741 0.67548 0.33079 0.16122 0.45484 0.61712 0.88045 0.85543 "Female" "Adult" "Control" 0.96617 0.19886 0.73873 0.77116 0.26037 0.33641 0.90247 0.63484 0.26358 0.2167 0.19274 0.53129 0.30505 0.91447 0.46995 0.90868 0.21448 0.17617 0.28998 0.96014 0.011679 0.49622 0.62675 0.44541 0.097313 0.99876 0.075997 0.61977 0.0065451 0.44241 0.016776 0.79085 0.53155 0.24255 0.73294 0.30553 0.91584 0.47249 0.59073 0.78898 0.79473 0.37177 0.42241 0.84981 0.36692 0.49912 0.0096356 0.60608 0.45217 0.77784 0.25019 0.54637 0.23511 0.94797 0.38929 0.36277 0.74009 0.16052 0.033538 0.1192 0.14119 0.29688 0.64353 0.27603 0.1319 "Female" "Prepuberal" "Drug" 0.48439 0.45239 0.0044611 0.2734 0.079955 0.95955 0.014755 0.66812 0.17478 0.67728 0.48862 0.62119 0.81888 0.76843 0.79117 0.88951 0.49489 0.23244 0.95808 0.72642 0.72844 0.65869 0.59986 0.46551 0.83122 0.34369 0.028333 0.87945 0.054202 0.46707 0.26406 0.54892 0.64404 0.88614 0.73628 0.72032 0.15946 0.094833 0.0046273 0.67149 0.71137 0.38287 0.74844 0.49429 0.81078 0.9115 0.85818 0.73645 0.066216 0.44018 0.6027 0.1908 0.91064 0.93669 0.10205 0.79701 0.4048 0.835 0.15002 0.65686 0.66874 0.68303 0.15153 0.71445 0.68237 "Female" "Prepuberal" "Drug" 0.062468 0.78889 0.85074 0.525 0.73533 0.44208 0.78051 0.43901 0.36862 0.73601 0.40701 0.28034 0.98205 0.53331 0.41877 0.98981 0.033001 0.71501 0.72305 0.96966 0.4153 0.28897 0.21064 0.73668 0.31502 0.90857 0.43351 0.30711 0.27407 0.010384 0.1419 0.07642 0.40751 0.29754 0.059901 0.85462 0.20361 0.063145 0.030751 0.10961 0.53636 0.25631 0.35309 0.98574 0.8977 0.73034 0.47349 0.71325 0.88788 0.6305 0.62545 0.74449 0.95062 0.99679 0.3497 0.78639 0.051413 0.55943 0.42155 0.94732 0.65873 0.92473 0.24467 0.049716 0.14958 "Male" "Adult" "Control" 0.17846 0.0019245 0.69557 0.53111 0.82265 0.962 0.48529 0.17299 0.53754 0.010019 0.73492 0.19776 0.96897 0.06838 0.73953 0.32366 0.37262 0.77059 0.86481 0.76214 0.11864 0.14306 0.25391 0.69904 0.59878 0.69767 0.14348 0.6262 0.35748 0.59355 0.032971 0.47432 0.26137 0.19068 0.22705 0.30769 0.15009 0.81648 0.37671 0.72396 0.58679 0.97204 0.44646 0.17223 0.34671 0.89971 0.14993 0.68999 0.90778 0.31402 0.019683 0.21286 0.51632 0.39694 0.17855 0.33135 0.948 0.17202 0.21289 0.84115 0.64381 0.29175 0.55014 0.10725 0.41037 "Male" "Prepuberal" "Drug" 0.33826 0.55558 0.56243 0.87338 0.34339 0.67638 0.39022 0.69438 0.92641 0.35591 0.2999 0.40839 0.57662 0.19958 0.35752 0.98742 0.35668 0.58938 0.52325 0.5251 0.59626 0.30813 0.65197 0.53309 0.46877 0.02977 0.80804 0.63398 0.78106 0.30163 0.28931 0.84973 0.60921 0.72412 0.46628 0.1568 0.9577 0.068448 0.16552 0.8826 0.21095 0.66056 0.033935 0.9501 0.015903 0.80492 0.24545 0.91987 0.78265 0.92182 0.81973 0.10012 0.70709 0.65994 0.24909 0.94999 0.87739 0.9388 0.76007 0.14639 0.18679 0.47599 0.24131 0.85899 0.54995 "Male" "Prepuberal" "Drug" 0.88048 0.43325 0.33772 0.93761 0.13614 0.70608 0.82309 0.92493 0.74912 0.23995 0.80714 0.3626 0.23348 0.012018 0.94982 0.61386 0.27471 0.87294 0.052769 0.44679 0.0046879 0.34744 0.32892 0.20632 0.65821 0.48128 0.0017548 0.3012 0.18884 0.82593 0.89387 0.40308 0.63279 0.95681 0.89896 0.077107 0.74868 0.29764 0.30622 0.00049313 0.41392 0.50529 0.72801 0.38234 0.028783 0.44793 0.056791 0.96955 0.47194 0.22332 0.51794 0.89638 0.7988 0.82295 0.64098 0.82849 0.82765 0.54216 0.64331 0.68749 0.8221 0.39154 0.50406 0.42428 0.5518 "Female" "Prepuberal" "Control" 0.042721 0.058416 0.3328 0.048717 0.66589 0.95769 0.87442 0.37061 0.14774 0.92761 0.91366 0.1619 0.2921 0.96657 0.75015 0.65208 0.2644 0.45399 0.96002 0.63836 0.93945 0.13954 0.52317 0.15697 0.261 0.67691 0.096222 0.58295 0.40648 0.91592 0.1631 0.2368 0.75927 0.90147 0.54424 0.74809 0.20645 0.78757 0.26997 0.10194 0.51582 0.19802 0.62138 0.44763 0.84964 0.23501 0.20524 0.32893 0.79614 0.37449 0.90943 0.82234 0.19969 0.62237 0.97575 0.62913 0.44864 0.83026 0.83965 0.66421 0.61375 0.3189 0.80125 0.56253 0.773 "Female" "Prepuberal" "Drug" 0.35541 0.44196 0.077323 0.97884 0.83044 0.93988 0.99836 0.63879 0.0028877 0.76299 0.76511 0.89353 0.67376 0.8322 0.019577 0.60135 0.74452 0.98393 0.67221 0.30714 0.69141 0.21624 0.12472 0.40224 0.28453 0.40248 0.42168 0.10768 0.69395 0.26735 0.98898 0.54149 0.23389 0.70058 0.057137 0.53421 0.6657 0.45637 0.30721 0.37038 0.83833 0.10438 0.12579 0.35989 0.93956 0.067124 0.46549 0.094816 0.87565 0.30814 0.11862 0.88278 0.10684 0.70051 0.92066 0.29562 0.88447 0.31744 0.2078 0.51049 0.93222 0.40019 0.66352 0.73272 0.74075 "Male" "Prepuberal" "Drug" 0.64074 0.83959 0.4583 0.63233 0.67362 0.83376 0.19566 0.88968 0.12701 0.37939 0.33421 0.44048 0.57374 0.44531 0.75517 0.79779 0.13168 0.25996 0.065467 0.44341 0.2718 0.55582 0.4527 0.43758 0.69106 0.15409 0.23511 0.79841 0.82948 0.29602 0.1313 0.36891 0.28873 0.81347 0.79449 0.45392 0.21956 0.91018 0.58402 0.91469 0.65991 0.88841 0.21546 0.14447 0.76271 0.2842 0.46098 0.80653 0.67225 0.037822 0.94615 0.088124 0.61857 0.48952 0.053807 0.617 0.85372 0.23274 0.43835 0.43472 0.66142 0.87759 0.036773 0.96088 0.90768 "Male" "Adult" "Control" 0.82788 0.61826 0.65719 0.072634 0.13946 0.15524 0.86997 0.48294 0.91692 0.68596 0.71934 0.67031 0.1997 0.9905 0.9118 0.61045 0.80308 0.69067 0.97914 0.66527 0.75374 0.051184 0.9926 0.97506 0.97348 0.56117 0.9563 0.87514 0.54618 0.092474 0.4673 0.75852 0.022698 0.86642 0.77485 0.79243 0.4493 0.55067 0.53852 0.99899 0.48118 0.36296 0.30838 0.81664 0.9658 0.43174 0.35106 0.68273 0.070383 0.60517 0.92704 0.70019 0.022224 0.50882 0.90308 0.9885 0.64774 0.70199 0.73212 0.38359 0.2492 0.95316 0.20803 0.059135 0.46372 "Female" "Prepuberal" "Drug" 0.044623 0.74159 0.57195 0.21182 0.37883 0.83043 0.30749 0.62982 0.67212 0.69887 0.033593 0.21043 0.9582 0.79428 0.34775 0.37724 0.3044 0.59674 0.29485 0.82228 0.65833 0.41735 0.39923 0.92674 0.28256 0.94933 0.37149 0.64767 0.91234 0.72583 0.37016 0.76904 0.29144 0.88821 0.50902 0.21878 0.94037 0.42922 0.79067 0.17049 0.85276 0.45371 0.030952 0.18171 0.49272 0.45512 0.441 0.17325 0.12447 0.83586 0.094805 0.17022 0.037562 0.77971 0.19 0.34401 0.50678 0.51978 0.10475 0.84229 0.046692 0.0043834 0.40312 0.11957 0.4008 "Female" "Prepuberal" "Drug" 0.79083 0.93564 0.40211 0.35989 0.67836 0.46414 0.41124 0.46502 0.11379 0.5904 0.61562 0.47115 0.33615 0.48861 0.071285 0.17465 0.34285 0.27933 0.94991 0.31902 0.28371 0.71158 0.061912 0.30806 0.85399 0.9593 0.49132 0.055069 0.91763 0.71746 0.65756 0.34631 0.35408 0.23045 0.025752 0.30651 0.58194 0.39905 0.37272 0.17262 0.48153 0.064794 0.20146 0.83297 0.55494 0.97935 0.32941 0.48101 0.42537 0.58825 0.41526 0.83304 0.11536 0.040486 0.99262 0.23964 0.076023 0.28615 0.44456 0.25084 0.037141 0.60143 0.91824 0.1308 0.9439 "Female" "Prepuberal" "Drug" 0.051151 0.32531 0.9347 0.42668 0.51593 0.29869 0.81634 0.10917 0.96023 0.96206 0.11218 0.049914 0.14966 0.13059 0.85509 0.059914 0.65934 0.27921 0.17342 0.65705 0.53561 0.87927 0.29296 0.86258 0.90133 0.98994 0.26751 0.93856 0.61854 0.62087 0.87356 0.96745 0.64963 0.62648 0.97553 0.73154 0.14773 0.063297 0.75201 0.10307 0.2723 0.85076 0.06743 0.4063 0.65224 0.92691 0.5721 0.93934 0.78267 0.36345 0.32286 0.72806 0.8187 0.90101 0.3265 0.00039711 0.36241 0.027673 0.49055 0.29148 0.71827 0.78558 0.60799 0.80272 0.095615 "Male" "Prepuberal" "Control" 0.29643 0.74599 0.36053 0.75815 0.97806 0.52331 0.36825 0.11312 0.11938 0.78135 0.050602 0.49593 0.32838 0.21224 0.094353 0.15235 0.038964 0.68377 0.0009046 0.5054 0.060216 0.60148 0.55227 0.56023 0.83775 0.83601 0.57628 0.057961 0.91047 0.37612 0.29488 0.35581 0.6076 0.24394 0.24237 0.45993 0.62953 0.71619 0.65258 0.60615 0.7312 0.27943 0.00015225 0.42145 0.97313 0.59757 0.99235 0.13807 0.58915 0.13989 0.84625 0.77589 0.3769 0.73205 0.22754 0.90929 0.23109 0.1528 0.69443 0.56097 0.24342 0.63851 0.2183 0.16017 0.55875 "Male" "Adult" "Drug" 0.27214 0.8729 0.94771 0.91575 0.26772 0.83163 0.42622 0.10789 0.49242 0.53843 0.05521 0.26972 0.1131 0.83111 0.54957 0.38342 0.77214 0.81128 0.87846 0.15745 0.67743 0.46497 0.74013 0.54416 0.75228 0.65408 0.52005 0.24914 0.89386 0.63067 0.27283 0.19319 0.75617 0.44268 0.90101 0.40504 0.1843 0.71992 0.55194 0.41189 0.96947 0.91192 0.63643 0.53325 0.90373 0.58368 0.71785 0.65965 0.47214 0.11653 0.94795 0.7635 0.22916 0.61578 0.94371 0.62754 0.86018 0.78392 0.93081 0.62666 0.14568 0.11701 0.34892 0.52553 0.3174 "Female" "Prepuberal" "Drug" 0.91345 0.43329 0.030124 0.62974 0.86691 0.53913 0.091217 0.44573 0.36131 0.094138 0.02622 0.68417 0.77191 0.32379 0.91553 0.013084 0.69008 0.076241 0.85054 0.30508 0.92288 0.81542 0.3184 0.84228 0.25913 0.86917 0.97887 0.37512 0.34529 0.51729 0.080891 0.091056 0.88436 0.78279 0.44838 0.25169 0.082893 0.74117 0.85092 0.25578 0.37562 0.05977 0.80275 0.43032 0.025045 0.11307 0.361 0.19404 0.033788 0.98122 0.72922 0.057099 0.36814 0.75519 0.81085 0.78623 0.63439 0.51875 0.15515 0.44972 0.043955 0.71051 0.26792 0.70859 0.94477 "Female" "Prepuberal" "Drug" 0.60547 0.52156 0.4411 0.95591 0.37375 0.25983 0.6675 0.93885 0.47 0.88601 0.95544 0.748 0.79256 0.73877 0.52201 0.96537 0.92725 0.36937 0.33641 0.1051 0.46664 0.32212 0.49386 0.78797 0.94714 0.86377 0.66074 0.41353 0.99639 0.65021 0.18635 0.31323 0.8955 0.71583 0.062794 0.58114 0.21393 0.68937 0.42525 0.20168 0.2386 0.61597 0.39434 0.0024213 0.57432 0.3992 0.57273 0.62648 0.18007 0.54169 0.68385 0.60985 0.17454 0.28447 0.92444 0.74872 0.73146 0.41682 0.052681 0.86443 0.80883 0.09775 0.38539 0.9904 0.6189 "Female" "Prepuberal" "Drug" 0.50222 0.65266 0.70071 0.75512 0.13663 0.35404 0.73131 0.63381 0.05878 0.2575 0.52521 0.39164 0.58707 0.15987 0.051965 0.31819 0.062019 0.80624 0.09833 0.87062 0.36881 0.37639 0.62867 0.53637 0.84713 0.76192 0.84624 0.16518 0.89026 0.87125 0.76001 0.95834 0.078076 0.24463 0.099259 0.80833 0.52644 0.26042 0.5744 0.18769 0.2427 0.56394 0.26274 0.66466 0.72938 0.94288 0.38033 0.62074 0.93182 0.08651 0.64141 0.89847 0.77478 0.20625 0.7185 0.6169 0.15636 0.10855 0.60868 0.95396 0.84072 0.58477 0.87828 0.61044 0.46439 "Female" "Adult" "Drug" 0.7366 0.46901 0.70299 0.52611 0.082692 0.18674 0.30082 0.92967 0.33001 0.46351 0.75625 0.55883 0.079192 0.73147 0.44091 0.9556 0.68747 0.95833 0.62812 0.67895 0.91739 0.13802 0.75315 0.0018304 0.84237 0.16527 0.087144 0.94197 0.36382 0.33102 0.90961 0.63846 0.52587 0.73783 0.3685 0.050434 0.6667 0.00987 0.76825 0.88377 0.018939 0.66827 0.28383 0.25679 0.15167 0.21432 0.37208 0.44098 0.59076 0.2561 0.31588 0.51613 0.33003 0.65219 0.87926 0.1834 0.94965 0.63143 0.24294 0.81653 0.22952 0.84756 0.55502 0.29158 0.87903 "Female" "Prepuberal" "Control" 0.11212 0.1833 0.51017 0.85011 0.73882 0.35066 0.338 0.062876 0.26452 0.3308 0.58982 0.73225 0.1929 0.053694 0.69119 0.02896 0.72569 0.99373 0.40042 0.82688 0.011573 0.65359 0.69389 0.37015 0.77716 0.079474 0.42288 0.12804 0.7829 0.55754 0.64462 0.20814 0.045145 0.90781 0.51353 0.14875 0.459 0.3501 0.53951 0.63141 0.98265 0.33544 0.71364 0.59192 0.049482 0.17045 0.42427 0.65895 0.50634 0.20978 0.73215 0.50617 0.31578 0.92812 0.86506 0.84359 0.40042 0.12673 0.5583 0.72006 0.74784 0.23073 0.32491 0.55088 0.73269 "Male" "Prepuberal" "Drug" 0.88449 0.226 0.61224 0.81603 0.37207 0.18972 0.73432 0.30694 0.24592 0.75677 0.73891 0.61162 0.77541 0.71439 0.26138 0.39718 0.84653 0.42557 0.92805 0.94607 0.92924 0.025492 0.13688 0.43612 0.47376 0.50889 0.041406 0.75539 0.32832 0.028614 0.51745 0.33312 0.79661 0.84223 0.38007 0.49141 0.21546 0.89616 0.98427 0.62243 0.80262 0.037794 0.19414 0.35785 0.53494 0.34688 0.74313 0.44715 0.21844 0.31461 0.15765 0.25562 0.72459 0.80457 0.35743 0.71599 0.61139 0.58064 0.6785 0.12204 0.28195 0.19599 0.64854 0.54071 0.58922 "Female" "Prepuberal" "Drug" 0.52955 0.41196 0.74637 0.13213 0.38052 0.83569 0.98546 0.94976 0.94768 0.80285 0.31942 0.58123 0.35339 0.12174 0.89591 0.27781 0.5538 0.43315 0.88061 0.6306 0.69342 0.23369 0.90696 0.6332 0.85117 0.09304 0.60213 0.64016 0.15671 0.22087 0.7016 0.34302 0.31483 0.97147 0.0016966 0.89169 0.22028 0.74324 0.10559 0.65827 0.56349 0.28579 0.58008 0.54805 0.039868 0.62019 0.36008 0.8516 0.95205 0.90375 0.76007 0.9716 0.58495 0.35044 0.13628 0.6518 0.79849 0.1845 0.4665 0.082954 0.33825 0.037828 0.6104 0.90052 0.10064 "Female" "Adult" "Control" 0.0054939 0.015292 0.80144 0.76072 0.30217 0.38415 0.69877 0.010364 0.032442 0.80312 0.84813 0.070604 0.83895 0.98404 0.45971 0.36185 0.8424 0.33845 0.61908 0.5134 0.82124 0.97878 0.37888 0.14678 0.92918 0.43786 0.73145 0.30662 0.73948 0.78559 0.045074 0.89484 0.23551 0.14286 0.71758 0.31302 0.89009 0.29399 0.301 0.17708 0.38883 0.93125 0.24747 0.78069 0.49998 0.43574 0.62649 0.70733 0.36226 0.5207 0.09191 0.58112 0.77776 0.27019 0.80578 0.61281 0.68637 0.49491 0.65841 0.83912 0.32921 0.82755 0.088963 0.070929 0.021878 "Female" "Prepuberal" "Drug" 0.16287 0.75067 0.33672 0.61723 0.29453 0.0094997 0.089932 0.16783 0.90615 0.87664 0.49365 0.37425 0.13389 0.5931 0.23202 0.78045 0.048919 0.45467 0.89394 0.55599 0.85774 0.94302 0.52962 0.56537 0.024244 0.31197 0.68263 0.11572 0.63174 0.2909 0.89025 0.50416 0.26744 0.85691 0.34508 0.28283 0.30155 0.18434 0.37985 0.62585 0.65253 0.79985 0.93591 0.55888 0.21033 0.41583 0.85287 0.42855 0.45855 0.16224 0.96765 0.96839 0.35958 0.74462 0.68112 0.87379 4.8345e-05 0.33544 0.80835 0.35055 0.066634 0.028262 0.36681 0.98375 0.084297 "Female" "Adult" "Drug" 0.26233 0.062123 0.56409 0.39765 0.25981 0.30902 0.47074 0.75527 0.3685 0.087474 0.11484 0.03359 0.69815 0.26954 0.19594 0.44566 0.7588 0.76998 0.20905 0.98743 0.11058 0.98106 0.98862 0.40312 0.72909 0.37915 0.061032 0.95555 0.5999 0.057183 0.67262 0.56222 0.14238 0.76205 0.65639 0.064712 0.25006 0.16296 0.47272 0.87646 0.99371 0.33107 0.56456 0.30169 0.47599 0.2852 0.12002 0.6202 0.83081 0.14361 0.60897 0.041438 0.18473 0.72299 0.43139 0.79268 0.50266 0.20685 0.85644 0.90564 0.077153 0.36724 0.93995 0.90569 0.45515 "Male" "Prepuberal" "Drug" 0.03887 0.43168 0.85527 0.84127 0.46348 0.83675 0.63536 0.83382 0.66254 0.66791 0.81227 0.40614 0.19034 0.432 0.84969 0.057312 0.676 0.7557 0.2583 0.6269 0.705 0.066964 0.95821 0.053982 0.46632 0.99559 0.6765 0.82415 0.24056 0.6989 0.16487 0.78934 0.19385 0.76026 0.16933 0.060515 0.89662 0.07579 0.22257 0.1782 0.71377 0.73742 0.87961 0.46061 0.65405 0.90509 0.17434 0.64119 0.79067 0.064053 0.89495 0.18863 0.57369 0.85672 0.94712 0.72442 0.98562 0.10517 0.71088 0.57789 0.49483 0.17481 0.92281 0.93899 0.18832 "Male" "Prepuberal" "Control" 0.68206 0.54278 0.58916 0.03832 0.98785 0.28134 0.52527 0.60586 0.95362 0.50242 0.66683 0.65796 0.39681 0.93051 0.74161 0.047994 0.87443 0.99239 0.0041249 0.85202 0.55167 0.19526 0.81765 0.13598 0.59119 0.86949 0.30708 0.1522 0.28235 0.63833 0.50256 0.35093 0.83339 0.45942 0.62115 0.57909 0.11973 0.43698 0.32074 0.64557 0.10237 0.56744 0.99268 0.92092 0.048973 0.68278 0.95063 0.88775 0.44102 0.85465 0.19415 0.51976 0.48309 0.91882 0.95117 0.40915 0.0070037 0.15363 0.26333 0.051087 0.3761 0.50407 0.26086 0.67186 0.075126 "Female" "Adult" "Drug" 0.028196 0.61015 0.50824 0.096206 0.38508 0.78134 0.14134 0.51792 0.094128 0.33556 0.38178 0.57524 0.33895 0.50789 0.66222 0.53081 0.33094 0.20307 0.090453 0.49025 0.52063 0.42341 0.4239 0.39051 0.9845 0.94791 0.34829 0.39289 0.79874 0.64771 0.53182 0.22018 0.7451 0.38408 0.42461 0.83696 0.6652 0.27162 0.22685 0.88412 0.44729 0.016064 0.94625 0.88618 0.85831 0.10426 0.9775 0.9936 0.62403 0.97446 0.98806 0.64085 0.42163 0.26901 0.032081 0.99765 0.040929 0.87333 0.29611 0.21565 0.41659 0.49599 0.26457 0.72655 0.32907 "Female" "Prepuberal" "Drug" 0.49995 0.43623 0.85343 0.9481 0.94323 0.53151 0.27552 0.94286 0.68532 0.58856 0.71881 0.97596 0.92269 0.064098 0.10709 0.76677 0.5185 0.37542 0.59582 0.019959 0.31373 0.53708 0.81798 0.45756 0.84701 0.2543 0.7265 0.46276 0.58694 0.8826 0.624 0.82283 0.74385 0.10743 0.67708 0.34739 0.32747 0.23711 0.021758 0.25052 0.69279 0.42551 0.47838 0.87947 0.039508 0.083478 0.252 0.72835 0.95551 0.92903 0.24131 0.34073 0.31733 0.68815 0.27617 0.62381 0.10342 0.72437 0.18585 0.14668 0.61969 0.86488 0.78033 0.09337 0.22729 "Female" "Adult" "Control" 0.48069 0.081069 0.6838 0.39602 0.167 0.15391 0.9871 0.74121 0.41244 0.35193 0.41863 0.44164 0.8384 0.65911 0.83617 0.61463 0.45395 0.70867 0.29931 0.24383 0.16141 0.46328 0.4445 0.33191 0.9767 0.048492 0.10709 0.73782 0.30175 0.16407 0.96457 0.076042 0.26594 0.45547 0.17881 0.34843 0.32609 0.14655 0.015473 0.58622 0.33296 0.029378 0.12499 0.97034 0.64055 0.013394 0.28462 0.50582 0.66348 0.40952 0.22342 0.64833 0.97257 0.618 0.067753 0.35317 0.60341 0.0035842 0.59938 0.4163 0.66353 0.57114 0.40191 0.13547 0.33717 "Female" "Prepuberal" "Drug" 0.27853 0.28396 0.10634 0.53226 0.925 0.52525 0.795 0.70108 0.11179 0.20672 0.055933 0.77784 0.62952 0.44917 0.45492 0.93243 0.1795 0.1635 0.77543 0.55008 0.31973 0.62591 0.38026 0.85733 0.34486 0.83184 0.2525 0.87565 0.29611 0.66667 0.56917 0.082186 0.11342 0.14725 0.88746 0.041527 0.82549 0.47082 0.78385 0.48687 0.92175 0.78418 0.064156 0.75231 0.50643 0.91876 0.83829 0.048929 0.26649 0.90161 0.402 0.35544 0.25822 0.071553 0.82695 0.18272 0.04619 0.81042 0.7783 0.87756 0.63551 0.17102 0.88646 0.81064 0.55245 "Female" "Prepuberal" "Control" 0.59049 0.073227 0.50196 0.90364 0.75434 0.28324 0.93333 0.74472 0.49184 0.26215 0.585 0.56946 0.86549 0.14717 0.65063 0.78158 0.8474 0.32396 0.64239 0.10157 0.67107 0.50256 0.70724 0.60716 0.27736 0.68873 0.43893 0.97384 0.22521 0.3832 0.57767 0.30972 0.048981 0.29359 0.15993 0.39132 0.55021 0.72859 0.018647 0.83909 0.63249 0.98081 0.38666 0.015543 0.57712 0.36757 0.8021 0.10822 0.72315 0.4845 0.78091 0.85043 0.5671 0.1884 0.39632 0.3209 0.42187 0.24562 0.095766 0.092959 0.3402 0.90835 0.45219 0.84529 0.96831 "Female" "Prepuberal" "Drug" 0.28742 0.72998 0.019167 0.34004 0.8566 0.71487 0.34837 0.87383 0.46155 0.098649 0.29883 0.0211 0.21629 0.77523 0.90442 0.7549 0.046426 0.80901 0.17955 0.47431 0.52395 0.79178 0.23892 0.19712 0.31641 0.59602 0.58718 0.72388 0.50544 0.69323 0.93749 0.8555 0.27612 0.38042 0.097846 0.86631 0.64478 0.3914 0.90273 0.051676 0.93219 0.68994 0.55825 0.99234 0.87905 0.42202 0.36996 0.8583 0.56108 0.46967 0.83921 0.5428 0.35207 0.33557 0.58118 0.25561 0.35586 0.88594 0.40998 0.92984 0.74476 0.66364 0.49699 0.10297 0.22723 "Female" "Prepuberal" "Drug" 0.91995 0.34638 0.44261 0.6639 0.60239 0.73439 0.20913 0.96412 0.87706 0.15006 0.40956 0.51227 0.064899 0.53126 0.11071 0.32622 0.5236 0.21896 0.28334 0.17453 0.6078 0.71035 0.17577 0.14352 0.33649 0.21474 0.30701 0.62291 0.56504 0.30417 0.06156 0.4743 0.65736 0.92455 0.76144 0.025259 0.84513 0.15602 0.1966 0.73947 0.42592 0.77969 0.92243 0.45576 0.18435 0.57571 0.36281 0.91594 0.97298 0.16783 0.4095 0.67308 0.31203 0.31105 0.34353 0.94108 0.69767 0.83928 0.63125 0.93584 0.69551 0.50269 0.37296 0.7559 0.40015 "Male" "Prepuberal" "Drug" 0.0060638 0.65221 0.90718 0.72736 0.10737 0.44964 0.68037 0.98192 0.66024 0.32102 0.58609 0.40755 0.678 0.087894 0.60383 0.52198 0.2327 0.32839 0.13585 0.32538 0.76031 0.5694 0.23815 0.76738 0.5481 0.53517 0.43547 0.84209 0.068896 0.64963 0.659 0.32424 0.6267 0.19347 0.89408 0.17138 0.595 0.14159 0.60903 0.55452 0.30049 0.59798 0.93431 0.5205 0.20146 0.18602 0.27174 0.67166 0.30087 0.082858 0.4024 0.25657 0.0093976 0.4202 0.97121 0.89291 0.36298 0.35557 0.76531 0.26536 0.58658 0.82208 0.38171 0.32117 0.99077 "Female" "Adult" "Control" 0.56453 0.48176 0.04467 0.22301 0.45547 0.18208 0.35542 0.91863 0.27796 0.59439 0.31562 0.21984 0.53512 0.90046 0.016382 0.64558 0.90327 0.462 0.5635 0.11039 0.16386 0.1571 0.28359 0.65272 0.28521 0.055756 0.31034 0.37804 0.1639 0.35954 0.099398 0.46004 0.57411 0.65505 0.24773 0.83093 0.33099 0.90452 0.52287 0.42947 0.88903 0.28461 0.82481 0.088893 0.13196 0.022226 0.25947 0.46234 0.49702 0.63316 0.77175 0.12134 0.66813 0.087739 0.60341 0.98805 0.32456 0.31525 0.51561 0.035679 0.88274 0.2877 0.45809 0.23824 0.46202 "Female" "Prepuberal" "Drug" 0.36869 0.38259 0.94519 0.55545 0.65459 0.13554 0.43837 0.28348 0.65717 0.15374 0.14736 0.23046 0.51735 0.86815 0.09121 0.51124 0.54126 0.35233 0.14426 0.42824 0.49436 0.6256 0.040649 0.34228 0.91586 0.43105 0.91597 0.89868 0.51052 0.91287 0.60867 0.67417 0.20036 0.39423 0.59723 0.012831 0.21141 0.35242 0.70673 0.77972 0.017374 0.74625 0.18358 0.7851 0.82221 0.658 0.99439 0.96139 0.28395 0.31098 0.24912 0.040606 0.88569 0.55987 0.66764 0.95247 0.67748 0.15419 0.046789 0.46647 0.95721 0.88097 0.71778 0.8396 0.98453 "Male" "Prepuberal" "Control" 0.37136 0.32689 0.18038 0.45523 0.057533 0.27277 0.90878 0.058626 0.64541 0.062626 0.99153 0.43855 0.25572 0.0563 0.90567 0.6621 0.098685 0.07354 0.85605 0.71899 0.76469 0.92583 0.55142 0.056611 0.67068 0.19074 0.65842 0.78876 0.54154 0.38877 0.80435 0.57406 0.40937 0.19349 0.076617 0.46669 0.62569 0.15946 0.3532 0.39667 0.14806 0.69387 0.39311 0.71769 0.73534 0.45865 0.046263 0.079917 0.074208 0.46635 0.86574 0.88794 0.42132 0.66763 0.86333 0.87421 0.58325 0.38842 0.44064 0.58438 0.86008 0.53144 0.72995 0.42144 0.49844 "Female" "Adult" "Drug" 0.021194 0.10304 0.36991 0.61026 0.021263 0.63564 0.83359 0.82099 0.89722 0.0077822 0.10749 0.91989 0.85283 0.64006 0.54762 0.23131 0.85708 0.50519 0.030408 0.76762 0.30081 0.9832 0.9425 0.42036 0.78549 0.32778 0.17691 0.9088 0.51004 0.67802 0.032315 0.84283 0.28431 0.031735 0.26655 0.83162 0.26306 0.87188 0.75889 0.35723 0.95916 0.44252 0.91278 0.5454 0.89349 0.19999 0.67633 0.38591 0.1114 0.21107 0.68219 0.75319 0.85858 0.1153 0.42009 0.16224 0.24045 0.30544 0.78127 0.72674 0.32036 0.092594 0.33613 0.65996 0.988 "Female" "Prepuberal" "Drug" 0.68725 0.37041 0.20524 0.54399 0.2898 0.80619 0.39138 0.17952 0.88234 0.77426 0.33426 0.31904 0.8232 0.88926 0.64421 0.98257 0.042738 0.2742 0.85032 0.92719 0.83887 0.72317 0.78784 0.46086 0.18301 0.93766 0.6451 0.42141 0.12192 0.75266 0.52193 0.075822 0.83408 0.80182 0.84633 0.90027 0.97565 0.80371 0.50558 0.65947 0.71447 0.41913 0.53417 0.74414 0.15968 0.19652 0.50168 0.016436 0.075307 0.0014457 0.97739 0.80208 0.94799 0.31566 0.073411 0.14669 0.37487 0.82118 0.99115 0.33349 0.66359 0.48354 0.4643 0.035779 0.5381 "Female" "Adult" "Drug" 0.55456 0.37744 0.095586 0.51836 0.93148 0.66788 0.73398 0.034931 0.33517 0.68205 0.037959 0.28433 0.016572 0.34772 0.23588 0.085919 0.14204 0.56764 0.2328 0.75695 0.67981 0.18756 0.24143 0.5355 0.14089 0.84737 0.035293 0.070587 0.15575 0.19939 0.29765 0.25985 0.75735 0.31333 0.68406 0.50705 0.16136 0.73415 0.76577 0.39417 0.30647 0.15077 0.45146 0.68732 0.42229 0.69357 0.11329 0.59191 0.99619 0.79761 0.18552 0.44141 0.37611 0.9808 0.8714 0.6498 0.20473 0.27988 0.84928 0.063682 0.90563 0.3218 0.37771 0.7408 0.1329 "Female" "Prepuberal" "Drug" 0.76544 0.4818 0.43274 0.28605 0.51402 0.28659 0.29066 0.77133 0.427 0.1205 0.92241 0.36378 0.47471 0.66672 0.62057 0.41268 0.2175 0.027511 0.75494 0.3325 0.32846 0.86013 0.69598 0.82842 0.055745 0.25698 0.78261 0.90752 0.40915 0.67832 0.66065 0.68756 0.86591 0.74694 0.48742 0.83873 0.79454 0.49217 0.36253 0.17848 0.8281 0.54029 0.2856 0.61129 0.62891 0.74742 0.46131 0.56824 0.5996 0.36805 0.21618 0.075173 0.20329 0.88587 0.69465 0.79009 0.25864 0.85145 0.059986 0.89164 0.68541 0.54308 0.06395 0.99757 0.3392 "Male" "Adult" "Drug" 0.79134 0.79562 0.27756 0.87902 0.8753 0.14244 0.29214 0.54053 0.80376 0.71925 0.37314 0.49932 0.94412 0.45446 0.078982 0.98528 0.77746 0.61372 0.05639 0.88056 0.53826 0.12906 0.015258 0.99837 0.61837 0.37721 0.001804 0.61274 0.69365 0.791 0.59772 0.4325 0.41693 0.59063 0.35678 0.56766 0.92443 0.40184 0.92502 0.054295 0.80789 0.19636 0.62277 0.082342 0.59678 0.54333 0.71863 0.012271 0.78897 0.015138 0.31292 0.15423 0.17917 0.022758 0.84142 0.072302 0.84731 0.19529 0.76673 0.82896 0.99912 0.9567 0.9827 0.38415 0.72901 "Female" "Prepuberal" "Drug" 0.24656 0.69139 0.10086 0.93654 0.3781 0.24588 0.2968 0.33154 0.92309 0.16185 0.98916 0.81352 0.45862 0.44688 0.64575 0.48526 0.35761 0.42361 0.70765 0.52561 0.83782 0.74347 0.76855 0.38241 0.58994 0.73351 0.38452 0.75034 0.78077 0.72621 0.061549 0.32373 0.74251 0.29643 0.21333 0.77396 0.46631 0.8626 0.9011 0.24712 0.90926 0.74918 0.18177 0.377 0.29574 0.52586 0.9606 0.58981 0.86127 0.71498 0.75201 0.24724 0.30629 0.86329 0.67625 0.24452 0.42704 0.355 0.72491 0.37295 0.49939 0.36752 0.59629 0.52926 0.41564 "Female" "Prepuberal" "Drug" 0.19981 0.84979 0.49892 0.80621 0.88451 0.6919 0.024842 0.57822 0.86672 0.12016 0.54346 0.23482 0.84997 0.017031 0.1763 0.61187 0.025324 0.6453 0.18412 0.26734 0.24298 0.047878 0.33189 0.19008 0.37504 0.78222 0.67247 0.5804 0.63636 0.1752 0.89116 0.046072 0.069935 0.8155 0.22884 0.31272 0.61357 0.18084 0.55171 0.90181 0.64281 0.71566 0.92715 0.40497 0.78202 0.40671 0.5289 0.36022 0.82707 0.21858 0.36774 0.079226 0.85031 0.24499 0.7014 0.010707 0.65698 0.34598 0.75468 0.76546 0.2729 0.026461 0.45014 0.78416 0.92472 "Female" "Prepuberal" "Drug" 0.36694 0.51228 0.23903 0.96908 0.53477 0.071747 0.91784 0.85451 0.49965 0.68115 0.56332 0.022264 0.53555 0.86142 0.61892 0.01122 0.83378 0.30612 0.9946 0.16822 0.019484 0.6497 0.32233 0.99239 0.022618 0.011637 0.039491 0.99452 0.58181 0.10322 0.95333 0.31035 0.95845 0.89251 0.76478 0.10759 0.41049 0.92557 0.52103 0.98244 0.62869 0.7045 0.71397 0.68738 0.38177 0.55697 0.93542 0.025435 0.93692 0.68872 0.60446 0.85316 0.5256 0.4336 0.89542 0.23254 0.53127 0.58563 0.20143 0.4374 0.69341 0.73951 0.97201 0.1622 0.070292 "Female" "Prepuberal" "Control"
% Let's summarise the content of the variables I'm interested in:
% Sex variable: Female and Male
% Age variable: Prepuberal and Adult
% Treatment variable: Drug and Control
% Height variable: Randomly assigned numerical values
Ctrl = nnz(strcmp(table1.Treatment,'Control'))
Ctrl = 22
Adlt = nnz(strcmp(table1.Age,'Adult'))
Adlt = 26
mdlsexandageandtreatment = fitlm(table1,'Height~Sex*Age*Treatment')
mdlsexandageandtreatment =
Linear regression model: Height ~ 1 + Sex*Age + Sex*Treatment + Age*Treatment + Sex:Age:Treatment Estimated Coefficients: Estimate SE tStat pValue _________ ________ ________ _________ (Intercept) 0.46394 0.04251 10.914 2.794e-18 Sex_Male 0.022515 0.090561 0.24862 0.80421 Age_Adult -0.012114 0.088003 -0.13766 0.89081 Treatment_Control 0.048619 0.10509 0.46265 0.64471 Sex_Male:Age_Adult -0.18573 0.1754 -1.0589 0.2924 Sex_Male:Treatment_Control -0.28262 0.17689 -1.5977 0.11355 Age_Adult:Treatment_Control -0.2328 0.18332 -1.2699 0.20732 Sex_Male:Age_Adult:Treatment_Control 0.52979 0.33473 1.5828 0.11691 Number of observations: 100, Error degrees of freedom: 92 Root Mean Squared Error: 0.288 R-squared: 0.0718, Adjusted R-Squared: 0.00123 F-statistic vs. constant model: 1.02, p-value = 0.424
I tend to like the friedman function for such comparisons, because physiiological variables (that I characteristically work with) are lognormally distributed, defying the assumptons of tests that assume normally-distributed variables. It also generally works for my data. (I don’t see any negative or zero values in your data, so your data may also be lognormally distributed.)
I believe that a different approach iis likely to give you the resutls you want, however not knowing the details, I can’t suggest a specific apporoch. I leave that choice for you.
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