A Score Test for Non‐Informative Censoring Using Doubly Sampled Grouped Survival Data

Yohanan Wax, Stuart G. Baker and Blossom H. Patterson

Journal of the Royal Statistical Society Series C, 1993, vol. 42, issue 1, 159-172

Abstract: A closed form score statistic for testing the assumption of non‐informative censoring is proposed for situations in which a random subsample of the censored subjects is followed to determine failure times. The test is derived for grouped survival data under the assumption of a proportional odds model for the hazard rates of censoring. Extensions to a stratified sample are provided. An example is given in which the possible association of discharge time with post‐surgical infection rates was investigated by using data from an Israeli study of hernia patients. The test showed that longer hospital stays were associated with higher infection rates.

Date: 1993
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