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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.

Original publication

DOI

10.1002/sim.2673

Type

Journal article

Journal

Statistics in medicine

Publication Date

12/2006

Volume

25

Pages

4279 - 4292

Addresses

Cancer Research UK/NHS Centre for Statistics in Medicine, Oxford, UK. andrea.burton@cancer.org.uk

Keywords

Humans, Biometry, Biomedical Research, Research Design, Computer Simulation