1987•Journal of Statistical Computation and SimulationRequires access

The effect of withdrawal censoring on two-sample tests

David J. Groggel, Robert L. Schaefer, John H. Skillings

Open publisher page 2 citations

Abstract

A simulation study was performed to examine the effects of withdrawal censoring and fixed right censoring on the level of significance and power of two-sample tests. Statistics based on Gehan, logrank, and Peto-Prentice scores are used. It is demonstrated that the performance of these tests can be adversely affected by a high percenage of withdrawals and/or unequal sample sizes

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What this paper is about

A simulation study was performed to examine the effects of withdrawal censoring and fixed right censoring on the level of significance and power of two-sample tests. Statistics based on Gehan, logrank, and Peto-Prentice scores are used. It is demonstrated that the performance of these tests can be adversely affected by a high percenage of withdrawals and/or unequal sample sizes

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Available abstract

A simulation study was performed to examine the effects of withdrawal censoring and fixed right censoring on the level of significance and power of two-sample tests. Statistics based on Gehan, logrank, and Peto-Prentice scores are used. It is demonstrated that the performance of these tests can be adversely affected by a high percenage of withdrawals and/or unequal sample sizes

Key concepts: Censoring (clinical trials), Statistics, Mathematics, Sample size determination, Log-rank test, Sample (material), Econometrics, Statistical hypothesis testing

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