Hi guys,
I am analysing a dataset which contains information on the return to work behaviour of mothers after giving birth. I am interested in the effects of a legislation change. My sample consists of 400 individuals which are observed over at least 48 months. In total, I have 280 failure events.
Now my questions:
(1) my treatment and control group differ by size: 160 control vs 120 treatment. Does this influence the stcox regression? Do i have to take groups of equal size?
(2) My regression results are a bit disappointing with respect to the reform effect. From a histogramm one can see a positive reform effect (moms return earlier) but the estimated hazard ratio implies the opposite. Can this be because of the sample size? Has anyone experience with sample sizes which are used for Cox regressions?
My code for the regression looks like this. Results dont change much when i use robust standard errors or cluster by id
Covariates are time constant and in most cases dummy variables.
Im greatful for any interesting comments on my problem.
Cheers
Tim
I am analysing a dataset which contains information on the return to work behaviour of mothers after giving birth. I am interested in the effects of a legislation change. My sample consists of 400 individuals which are observed over at least 48 months. In total, I have 280 failure events.
Now my questions:
(1) my treatment and control group differ by size: 160 control vs 120 treatment. Does this influence the stcox regression? Do i have to take groups of equal size?
(2) My regression results are a bit disappointing with respect to the reform effect. From a histogramm one can see a positive reform effect (moms return earlier) but the estimated hazard ratio implies the opposite. Can this be because of the sample size? Has anyone experience with sample sizes which are used for Cox regressions?
My code for the regression looks like this. Results dont change much when i use robust standard errors or cluster by id
Code:
stcox treated covariate1 covariate2 covariate3 covariate4
Im greatful for any interesting comments on my problem.
Cheers
Tim
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