Medical College of Wisconsin
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Test for Trend With a Multinomial Outcome The American Statistician


There is no established procedure for testing for trend with nominal outcomes that would provide both a global hypothesis test and outcome-specific inference. We derive a simple formula for such a test using a weighted sum of Cochran–Armitage test statistics evaluating the trend in each outcome separately. The test is shown to be equivalent to the score test for multinomial logistic regression, however, the new formulation enables the derivation of a sample size formula and multiplicity-adjusted inference for individual outcomes. The proposed methods are implemented in the R package multiCA.

Author List

Szabo A


Aniko Szabo PhD Associate Professor in the Institute for Health and Equity department at Medical College of Wisconsin
jenkins-FCD Prod-299 9ef562391eceb2b8f95265c767fbba1ce5a52fd6