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...can be transferred to Harrell's c index. But in this way, I cannot get 95%CI of c index. How can I do this in R? And by the way, what value should be in c index to present the model's well? Calibration was using calibrate() in rms, but I cannot get the calibration plot which presented the concorance of predicted and observed events in Cox model. How can I do this calibration plot of Cox model in R. -- View this message in context: http://r.789695.n4.nabble.com/Discrimination-and-calibration-of-Cox-model-tp4367927p4367927.html Sent from the R help mailing list archive at Nabble.com.

...gtools) df1$rank <- rank(-df1[,rankby],ties.method="first") df2$rank <- rank(-df2[,rankby],ties.method="first") dftmp <- merge(df1,df2,matchby,all=TRUE) rownames(dftmp) <- dftmp[,matchby] df <- combinations(length(dftmp[,matchby]),2 ,as.character(dftmp[,matchby])) concor <- function(x,dftmp,p){ a <- NA n <- sum(as.numeric(!is.na(dftmp$rank.x))) x <- dftmp[c(x[1],x[2]),c("rank.x","rank.y")] if (all(is.na(x$rank.x)== FALSE) && all(is.na(x$rank.y)==TRUE)) { a <- p} else if (all(is.na(x$rank.x)== TRUE) && all(is.na(x$r...

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