Calculating the sample size required for developing a clinical prediction model

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.

Keywords

Sample size determinationComputer scienceSample (material)Outcome (game theory)Predictive modellingHealth careData scienceData miningStatisticsMachine learningMathematics

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Publication Info

Year: 2020
Type: article
Volume: 368
Pages: m441-m441
Citations: 2119
Access: Closed

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APA Style

                            
                                    Richard D Riley, 
                                
                                    Joie Ensor, 
                                
                                    Kym I E Snell
                                
                                et al.
                            
                            (2020). 
                            Calculating the sample size required for developing a clinical prediction model. 
                            BMJ
                            , 368
                            
                            , m441-m441.
                            https://doi.org/10.1136/bmj.m441

Identifiers

DOI: 10.1136/bmj.m441