A comparison of the power of two tests for qualitative interactions

S. Piantadosi, M. H. Gail

    Research output: Contribution to journalArticlepeer-review

    Abstract

    ‘Qualitative’ or ‘crossover’ interactions arise when a new treatment, compared with a control treatment, is beneficial in some subsets of patients and harmful in other subsets. We present a new range test for crossover interactions and compare it with the likelihood ratio test developed by Gail and Simon. The range test has greater power when the new treatment is harmful in only a few subsets, whereas the likelihood ratio test has greater power when the new treatment is harmful in several subsets. We provide power tables for both tests to facilitate sample size calculations for designing experiments to detect qualitative interactions and for interpreting the results of clinical trials.

    Original languageEnglish (US)
    Pages (from-to)1239-1248
    Number of pages10
    JournalStatistics in Medicine
    Volume12
    Issue number13
    DOIs
    StatePublished - 1993

    ASJC Scopus subject areas

    • Epidemiology
    • Statistics and Probability

    Fingerprint

    Dive into the research topics of 'A comparison of the power of two tests for qualitative interactions'. Together they form a unique fingerprint.

    Cite this