Median tests for censored survival data; a contingency table approach.

ABSTRACT: The median failure time is often utilized to summarize survival data because it has a more straightforward interpretation for investigators in practice than the popular hazard function. However, existing methods for comparing median failure times for censored survival data either require estimation of the probability density function or involve complicated formulas to calculate the variance of the estimates. In this article, we modify a K-sample median test for censored survival data (Brookmeyer and Crowley, 1982, Journal of the American Statistical Association 77, 433-440) through a simple contingency table approach where each cell counts the number of observations in each sample that are greater than the pooled median or vice versa. Under censoring, this approach would generate nonintege

SUBMITTER: Tang S 

PROVIDER: S-EPMC4281497 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature