A

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

  1. Richard D Riley corresponding

    Keele University

    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

  2. Keele University

    Affiliation as printed

    Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire ST5 5BG, UK

  3. Keele University

    Affiliation as printed

    Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire ST5 5BG, UK

  4. Vanderbilt University

    Affiliation as printed

    Department of Biostatistics, Vanderbilt University School of Medicine, Nashville TN, USA

  5. 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

  6. University Medical Center Utrecht

    Affiliation as printed

    Julius Center for Health Sciences, University Medical Center Utrecht, Utrecht, Netherlands

  7. University Medical Center Utrecht

    Affiliation as printed

    Julius Center for Health Sciences, University Medical Center Utrecht, Utrecht, Netherlands

  8. University of Oxford

    Affiliation as printed

    Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK

  9. 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

Cited by 2,657 stored of 2,902

No patents citing this paper on Lens.org (checked 2026-10-11).

References 81