1 Using a Counting Process Method to Impute 2 Censored Follow - up Time Data 3
نویسندگان
چکیده
Censoring occurs when complete follow-up time information is unavailable for patients 9 enrolled in a clinical study. The process is considered to be informative (nonignorable) if the 10 likelihood function for the censoring model cannot be partitioned into a set of response parameters 11 that are independent of the censoring parameters. In such cases, estimated survival time 12 probabilities may be biased, prompting the need for special statistical methods to remedy the 13 situation. The problem is especially salient when censoring is skewed toward the early phase of a 14 study. In this paper, we describe a method to impute censored follow-up times using a counting 15 process method. 16 17
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