Scientific Publications by FDA Staff
Stat Med 1996 Feb 15;15(3):233-47
Global tests for combination drug studies in factorial trials.
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.
|Category: Journal Article|
|PubMed ID: #8643882||DOI: 10.1002/(SICI)1097-0258(19960215)15:3<233::AID-SIM167>3.0.CO;2-H|
|Includes FDA Authors from Scientific Area(s): Drugs|
|Entry Created: 2012-12-25|