I'm currently analyzing data from an experiment where I have multiple observations from each subject. I have re-weighted the data to better approximate the data generating process. I have also created adjusted survival curves using the Kaplan-Meier estimator for a control and treatment group but I am unsure as the best way to test for significance.
The best approach I have thought of so far is to take the means of each subject under the weighted KM and run hypothesis tests on that. The log-rank test would have an issue with the correlated data. The cox ph doesn't seem to have proportional hazards, although I don't think the effect of the non-proportional hazards matters much with this data. I would appreciate any advice on any of these tests. Thanks, Stanton -- Sent from: http://r.789695.n4.nabble.com/datatable-help-f2315188.html _______________________________________________ datatable-help mailing list [email protected] https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help
