Missing Information Principle: A Unified Approach for General Truncated and Censored Survival Data Problems
Missing Information Principle: A Unified Approach for General Truncated and Censored Survival Data Problems
It is well known that truncated survival data are subject to sampling bias, where the sampling weight depends on the underlying truncation time distribution. Recently, there has been a rising interest in developing methods to better exploit the information about the truncation time, thus the sampling weight function, to obtain …