Abstract
SUMMARY Gill & Schumacher (1987) assess proportionality of hazards in the two-sample case by comparing two generalized linear rank tests with different weights. They consider the difference of the two linear rank statistics; under proportionality, the expected value of this difference is zero and its variance may be estimated. The purpose of this note is to show that one can perform a similar procedure within the traditional regression setting. The procedure has the advantage of generalizability to multi-sample or continuous data and is computable using existing regression programs.
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