Dear All.
Apologies for posting a question regarding survival analysis, and not R, to the
R-help list. In the past I received the best advices from the R community.
The random censorship model (the censoring times independent of the failure
times and vice versa) is one of the fundamental assumptions in the survival
analysis. In the medical studies we have random entry to study and study end
which is a censoring mechanism independent of the failure times. However, in
reality we may have dropout subjects, lost to follow-up, which are censored by
a different mechanism which may not be independent of the failure times. The
inclusion of dropout subjects in the survival analysis may break the random
censorship model and include bias in our estimates of survival with KM. I have
studied papers on this subject (e.g. double sampling, copula approach for
dependent censoring), but I have not found any research paper which examines
the removal of dropout subjects from the survival analysis.
I am alone in my research and would be grateful to hear thoughts on this
subject. Thank you in advance and apologies for using the R-help list for my
research question.
DK
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