期刊
STATISTICS IN MEDICINE
卷 24, 期 19, 页码 2977-2987出版社
JOHN WILEY & SONS LTD
DOI: 10.1002/sim.2162
关键词
correlated data; generalized estimating equations; ordinal response; power; sample size
Correlated ordinal response data often arise in public health studies. Sample-size (power) calculations are a crucial step in designing such studies to ensure an adequate sample to detect a significant effect. Here we extend Rochon's method of sample-size estimation with a repeated binary response to the ordinal case. The proposed sample-size calculations are based on an analysis with generalized estimating equations (GEE) and inference with the Wald test. Simulation results demonstrate the merit of the proposed power calculations. Analysis of an arthritis clinical trial is used for illustration. Published in 2005 by John Wiley & Sons, Ltd.
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