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Calculating the Sample Size Required for Developing a Clinical Prediction Model by Richard D Riley; Joie Ensor; Kym I E Snell; Frank E Harrell; Glen P Martin; Johannes B Reitsma; Karel G M Moons; Gary Collins; Maarten van Smeden is a Health Professions article available to read on EtoBox.

## Calculating the sample size required for developing a clinical prediction model 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.

It is typically read by researchers, students, and practitioners in Health Professions.

Author
Richard D Riley; Joie Ensor; Kym I E Snell; Frank E Harrell; Glen P Martin; Johannes B Reitsma; Karel G M Moons; Gary Collins; Maarten van Smeden
Publisher
BMJ
Published
2020
Language
EN
Field
Health Professions (Health Sciences)