Premium
GLOBAL TESTS FOR COMBINATION DRUG STUDIES IN FACTORIAL TRIALS
Author(s) -
HUNG H. M. JAMES
Publication year - 1996
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19960215)15:3<233::aid-sim167>3.0.co;2-h
Subject(s) - factorial , statistics , analysis of variance , outcome (game theory) , factorial experiment , mathematics , variance (accounting) , test (biology) , computer science , medicine , econometrics , biology , accounting , mathematical economics , business , paleontology , mathematical analysis
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 α‐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.