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Global tests for combination drug studies in factorial trials
1Statistical Evaluation and Research Branch, Food and Drug Administration, Rockville, Maryland 20852, USA.
Abstract:
To test the hypothesis that there are some studied dose combinations more effective in treating a disease than their respective component doses of two drugs, Hung, Chi and Lipicky proposed two alpha-level tests for normally distributed data. This paper extends the utilities of these tests to the outcome variable that has variance as a function of its mean, such as with a binomially distributed outcome, and to incomplete factorial design settings where some cells are not studied. I explore the impacts of excluding cells from study on the power performances of these tests.
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