Hi all, I am trying to replicate the results from a paper. The problems are in the setting of survival analysis.
The hypothetical data is displayed as follows. ID time status 1 81 0 2 42 1 3 37 1 4 54 0 5 35 0 6 38 1 7 29 0 8 40 0 Question 1: How to obtain a 95% envelope for the estimated cumulative risk function from bootstrap samples? I guess the output of this step consists of the envelope and the estimated cumulative risk function. Question2: bootstrap process will be repeated for n times; then the average cumulative risk function was estimated as the median of the n empirical cumulative risk functions. My question is how to plot this so called Average Risk Function vs. time easily instead of using lines() and points() to draw the above step function? Thanks in advance. Rui ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
