The design of simluation studies in medical statistics

A Burton, D Altman, P Royston, Roger Holder

    Research output: Contribution to journalArticle

    391 Citations (Scopus)

    Abstract

    Simulation studies use computer intensive procedures to assess the performance of a variety of statistical methods in relation to a known truth. Such evaluation cannot be achieved with studies of real data alone. Designing high-quality simulations that reflect the complex situations seen in practice, such as in prognostic factors studies, is not a simple process. Unfortunately, very few published simulation studies provide sufficient details to allow readers to understand fully all the processes required to design a simulation study. When planning a simulation study, it is recommended that a detailed protocol be produced, giving full details of how the study will be performed, analysed and reported. This paper details the important considerations necessary when designing any simulation study, including defining specific objectives of the study, determining the procedures for generating the data sets and the number of simulations to perform. A checklist highlighting the important considerations when designing a simulation study is provided. A small review of the literature identifies the current practices within published simulation studies. Copyright (c) 2006 John Wiley & Sons, Ltd.
    Original languageEnglish
    Pages (from-to)4279-4292
    Number of pages14
    JournalStatistics in Medicine
    Volume25
    DOIs
    Publication statusPublished - 30 Dec 2006

    Keywords

    • simulation study
    • protocol
    • coverage
    • bias
    • mean square error
    • design

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