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

“Calculating the sample size required for developing a clinical prediction model” (2020), by Richard D Riley et al. Mathematics research paper. Original abstract below, unchanged. No free PDF was found.

- Authors: Richard D Riley, Joie Ensor, Kym I E Snell, Frank E. Harrell, Glen Philip Martin, Johannes B. Reitsma, Karel G.M. Moons, Professor Gary S. Collins, Maarten van Smeden
- Published: March 18, 2020
- Field: Mathematics
- DOI: https://doi.org/10.1136/bmj.m441
- Source: https://doi.org/10.1136/bmj.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.

Canonical page: https://nerdi.pages.dev/paper/W3012413426
Read three real papers a day in Nerdi (iPhone): https://apps.apple.com/app/apple-store/id6813826387?pt=128757794&ct=web-paper&mt=8