Calculating the sample size required for developing a clinical prediction model
BMJ, vol. 368, pp. m441
Abstract
Clinical prediction models aim to predict outcomes in individuals, to inform diagnosis or prognosis in healthcare. Hundreds of prediction models are published in the medical literature each year, yet many are developed using a dataset that is too small for the total number of participants or outcome events. This leads to inaccurate predictions and consequently incorrect healthcare decisions for some individuals. In this article, the authors provide guidance on how to calculate the sample size required to develop a clinical prediction model.
Authors 9
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Richard D Riley corresponding
Affiliation as printed
Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire ST5 5BG, UK r.riley@keele.ac.uk
Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire ST5 5BG, UK
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Affiliation as printed
Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire ST5 5BG, UK
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Affiliation as printed
Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire ST5 5BG, UK
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Affiliation as printed
Department of Biostatistics, Vanderbilt University School of Medicine, Nashville TN, USA
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Manchester Academic Health Science Centre · University of Manchester
Affiliation as printed
Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
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University Medical Center Utrecht
Affiliation as printed
Julius Center for Health Sciences, University Medical Center Utrecht, Utrecht, Netherlands
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University Medical Center Utrecht
Affiliation as printed
Julius Center for Health Sciences, University Medical Center Utrecht, Utrecht, Netherlands
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Affiliation as printed
Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
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Leiden University Medical Center · University Medical Center Utrecht · University of Oxford
Affiliation as printed
Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
Department of Clinical Epidemiology, Leiden University Medical Center Leiden, Netherlands
Julius Center for Health Sciences, University Medical Center Utrecht, Utrecht, Netherlands
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