An efficient and exact approach for detecting trends with binary endpoints
Lloyd (Aust. Nz. J. Stat., 50, 329-345, 2008) developed an exact testing approach to control for nuisance parameters, which was shown to be advantageous in testing for differences between two population proportions. We utilized this approach to obtain unconditional tests for trends in 2 × K contingency tables. We compare the unconditional procedure with other unconditional and conditional approaches based on the well-known Cochran-Armitage test statistic. We give an example to illustrate the approach, and provide a comparison between the methods with regards to type I error and power. The proposed procedure is preferable because it is less conservative and has superior power properties.
Clinical trials; Clinical trials—Methodology; Clinical trials--Statistical methods; Clinical Trials as Topic/methods; Clinical Trials as Topic/statistics & numerical data; Cochran–Armitage test; Confidence intervals; Contingency tables; Data Interpretation; Statistical; Dose-Response Relationship; Drug; Drugs--Dose-response relationship; Exact tests; E + M p-value; Humans; Men; Models; Statistical; Nuisance parameters; Translating and interpreting--Data processing; Unconditional test; Women
Medicine and Health Sciences | Statistical Methodology | Statistical Models | Statistics and Probability | Vital and Health Statistics
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Hutson, A. D.,
Wilding, G. E.
An efficient and exact approach for detecting trends with binary endpoints.
Statistics in Medicine, 31(2),