This is for coxph: The cluster term is used to compute a robust variance for the model. The term + cluster(id) where each value of id is unique is equivalent to specifying the robust=T argument, and produces an approximate jackknife estimate of the variance. If the id variable were not unique, but instead identifies clusters of correlated observations, then the variance estimate is based on a grouped jackknife.
How could be done using aftreg? and/or phreg? -- View this message in context: http://r.789695.n4.nabble.com/pooled-hazard-model-with-aftreg-and-time-dependent-variables-tp3758805p3767222.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
