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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.

More information Original publication

DOI

10.1136/bmj.m441

Type

Journal article

Journal

BMJ Research Methods and Reporting

Publication Date

18/03/2020

Addresses

Launching Fellow: Kym Snell