Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Harrell, FE, Martin, GP, Reitsma, JB, Moons, KGM, Collins, G and van Smeden, M (2020) Calculating the sample size required for developing a clinical prediction model. BMJ, 368. -.

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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.

Item Type: Article
Additional Information: The final accepted manuscript and all relevant information can be found at; https://www.bmj.com/content/368/bmj.m441
Uncontrolled Keywords: Clinical prediction
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Medicine and Health Sciences > School of Primary, Community and Social Care
Related URLs:
Depositing User: Symplectic
Date Deposited: 17 Apr 2020 08:45
Last Modified: 21 Apr 2020 15:57
URI: http://eprints.keele.ac.uk/id/eprint/7880

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