Efird, J.T.; Jindal, C. Using a Counting Process Method to Impute Censored Follow-Up Time Data. Int. J. Environ. Res. Public Health2018, 15, 690.
Efird, J.T.; Jindal, C. Using a Counting Process Method to Impute Censored Follow-Up Time Data. Int. J. Environ. Res. Public Health 2018, 15, 690.
Efird, J.T.; Jindal, C. Using a Counting Process Method to Impute Censored Follow-Up Time Data. Int. J. Environ. Res. Public Health2018, 15, 690.
Efird, J.T.; Jindal, C. Using a Counting Process Method to Impute Censored Follow-Up Time Data. Int. J. Environ. Res. Public Health 2018, 15, 690.
Abstract
Censoring occurs when complete follow-up time information is unavailable for patients enrolled in a clinical study. The process is considered to be informative (nonignorable) if the likelihood function for the censoring model cannot be partitioned into a set of response parameters that are independent of the censoring parameters. In such cases, estimated survival time probabilities may be biased, prompting the need for special statistical methods to remedy the situation. The problem is especially salient when censoring is skewed toward the early phase of a study. In this paper, we describe a method to impute censored follow-up times using a counting process method.
Copyright:
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