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How to stratify covariates in coxphfit function?

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Hi,
First I want to know how should I find out which covariates to stratify. I've been told to check the p-values in the stats after running coxphfit with no stratification. Those covariates which have p-value lower than 0.05 should be stratified. Is this correct?
Second, how do I actually stratify the covariates? The documentation says to offer name-value pair ('Strata', Gender) as input for the coxphfit, but what if my data is a matrix? Should I put 'Strata', X(:, 2) for example if I want to stratify the second covariate?

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Accepted Answer

Aditya Patil
Aditya Patil on 18 Aug 2020
It is possible to specify a column for stratification, as in following example,
load('lightbulb.mat');
b = coxphfit(lightbulb(:,2),lightbulb(:,1), ...
'Strata',lightbulb(:,3))
Find more details about when stratify should be used in the documentation here. The model is based on the assumption that the baseline hazard function depends on time, t, but the predictor variables do not. This assumption is also called the proportional hazards assumption. When you have variables that do not satisfy this assumption, you can consider using two extensions of Cox proportional hazards model: the stratified Cox model and the Cox model with time-dependent variables.
If the variables that do not satisfy the PH assumption are categorizable, use the stratified Cox model. If the variables that do not satisfy the PH assumption are time-dependent variables, use the Cox model with time-dependent variables.

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