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Repeated events and total time on test

Kajsa Kvist, Per Kragh Andersen, Jules Angst, Lars Vedel Kessing

    6 Citations (Scopus)

    Abstract

    We adopt the total time on test procedure to investigate monotone time trends in the intensity in a repeated event setting. The correct model is assumed to be a proportional hazards model, with a random effect to account for dependence within subjects. The method offers a simple routine for testing relevant hypotheses for recurrent event processes, without making distributional assumptions about the frailty. Such assumptions may severely affect conclusions concerning regression coefficients and cause bias in the estimated heterogeneity. The method is illustrated by re-analyzing Danish registry data and a long-term Swiss clinical study on recurrence in affective disorder.

    Original languageEnglish
    JournalStatistics in Medicine
    Volume27
    Issue number19
    Pages (from-to)3817-32
    Number of pages16
    ISSN0277-6715
    DOIs
    Publication statusPublished - 30 Aug 2008

    Keywords

    • Bias
    • Computer Simulation
    • Denmark
    • Female
    • Humans
    • Male
    • Models, Statistical
    • Mood Disorders
    • Proportional Hazards Models
    • Recurrence
    • Registries
    • Regression Analysis
    • Retrospective Studies
    • Statistics, Nonparametric
    • Switzerland
    • Time Factors
    • Journal Article
    • Research Support, Non-U.S. Gov't

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