A method of constructing rank tests in survival analysis

It is typical in survival analysis that the quantities of interest are only partially observable. One encounters data being censored, truncated or interval censored. When testing a control versus a treatment group in such a situation one gets an additional complication, namely infinite-dimensional nuisance parameters representing the censoring and truncation distributions. In this paper, we review a method for constructing in some sense asymptotically optimal rank tests when data are only partially observed.

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