Keele Research Repository
Explore the Repository
Riley, RD, Ensor, J, Snell, KIE, 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. -. ISSN 0959-8138
bmj.m441.full.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial.
Download (4MB) | Preview
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: | https://eprints.keele.ac.uk/id/eprint/7880 |