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Hi, I am working on fitting a proportional hazard model to predict the probability of default for mortgage loans. I have a question regarding survfit function. My historical data set is a pool of loans with monthly observed default status for the next 24 months. The data is left truncated (delayed entry to observation window after the loan is opened) and right censored. I would like to

Dear R-Users, A message to continue the discussions we had in March and June. I have read the documents written since then (http://www.r-project.org/doc/R-FDA.pdf ; http://user2007.org/program/presentations/harrell.pdf ; http://user2007.org/program/presentations/rossini.pdf ; http://user2007.org/program/presentations/soukup.pdf) which are very interesting and useful. I work in a CRO and we

Dear R-help, I am using R 2.14.1 on Windows 7. I would like to produce a plot like the attached - although simplified to actual vs. Predicted survival time with distinguishing marks for censored and observed points. I have a dataset and have fitted a Cox model to it. In an attempt to visualise how accurate the model is it would be ideal if I could plot the actual survival times against the