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 α‐level tests for normally distributed data. This paper extends the utilities of these tests to the outcome...
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| Veröffentlicht in: | Statistics in medicine 1996-02, Vol.15 (3), p.233-247 |
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| container_title | Statistics in medicine |
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| creator | HUNG, H. M. JAMES |
| description | 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. |
| doi_str_mv | 10.1002/(SICI)1097-0258(19960215)15:3<233::AID-SIM167>3.0.CO;2-H |
| format | Article |
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| ispartof | Statistics in medicine, 1996-02, Vol.15 (3), p.233-247 |
| issn | 0277-6715 1097-0258 |
| language | eng |
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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Algorithms Antihypertensive Agents - therapeutic use Binomial Distribution Biological and medical sciences Blood Pressure - drug effects Computerized, statistical medical data processing and models in biomedicine Drug Therapy, Combination Factor Analysis, Statistical Humans Hypertension - drug therapy Medical sciences Medical statistics Models, Statistical Monte Carlo Method Randomized Controlled Trials as Topic - statistics & numerical data Treatment Outcome |
| title | GLOBAL TESTS FOR COMBINATION DRUG STUDIES IN FACTORIAL TRIALS |
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