A k-sample median test for censored data

Ron Brookmeyer; John Crowley

doi:10.1080/01621459.1982.10477829

A k-sample median test for censored data

Ron Brookmeyer, John Crowley

Research output: Contribution to journal › Article › peer-review

46 Scopus citations

Abstract

A k-sample median test for censored data is proposed. The test is more sensitive to differences in median survival times than to differences in shape of the survival curves. The asymptotic distribution of the test statistic is derived under both the null and the alternative hypotheses and its variance is shown to take a simple form. The median test is compared to several other tests for censored data by computing asymptotic relative efficiencies and performing a Monte Carlo simulation under various conditions. The procedure described is applied to data from a colorectal cancer clinical trial.

Original language	English (US)
Pages (from-to)	433-440
Number of pages	8
Journal	Journal of the American Statistical Association
Volume	77
Issue number	378
DOIs	https://doi.org/10.1080/01621459.1982.10477829
State	Published - Jun 1982
Externally published	Yes

Keywords

Censored data
Median test
Survival analysis

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1080/01621459.1982.10477829

Cite this

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title = "A k-sample median test for censored data",

abstract = "A k-sample median test for censored data is proposed. The test is more sensitive to differences in median survival times than to differences in shape of the survival curves. The asymptotic distribution of the test statistic is derived under both the null and the alternative hypotheses and its variance is shown to take a simple form. The median test is compared to several other tests for censored data by computing asymptotic relative efficiencies and performing a Monte Carlo simulation under various conditions. The procedure described is applied to data from a colorectal cancer clinical trial.",

keywords = "Censored data, Median test, Survival analysis",

author = "Ron Brookmeyer and John Crowley",

note = "Funding Information: * Ron Brookmeyer is Absi\tant Professor. Department of Biostatistics. The Johns Hopkins University. Baltimore. MD 21205. John Crow-ley is Associate Professor. Department of Biostatistics. University of Washington. and Associate Member. Fred Hutchinson Cancer Research Center, Seattle. WA 98104. This research was partially supported by NIH grant 5-ROI CA 18332-06.",

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AU - Crowley, John

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PY - 1982/6

Y1 - 1982/6

N2 - A k-sample median test for censored data is proposed. The test is more sensitive to differences in median survival times than to differences in shape of the survival curves. The asymptotic distribution of the test statistic is derived under both the null and the alternative hypotheses and its variance is shown to take a simple form. The median test is compared to several other tests for censored data by computing asymptotic relative efficiencies and performing a Monte Carlo simulation under various conditions. The procedure described is applied to data from a colorectal cancer clinical trial.

AB - A k-sample median test for censored data is proposed. The test is more sensitive to differences in median survival times than to differences in shape of the survival curves. The asymptotic distribution of the test statistic is derived under both the null and the alternative hypotheses and its variance is shown to take a simple form. The median test is compared to several other tests for censored data by computing asymptotic relative efficiencies and performing a Monte Carlo simulation under various conditions. The procedure described is applied to data from a colorectal cancer clinical trial.

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KW - Median test

KW - Survival analysis

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A k-sample median test for censored data

Abstract

Keywords

ASJC Scopus subject areas

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