Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes

• Published in: Statistics in medicine Vol. 38; no. 7; pp. 1262 - 1275
• Main Authors: Riley, Richard D., Snell, Kym I.E., Ensor, Joie, Burke, Danielle L., Harrell, Frank E., Moons, Karel G.M., Collins, Gary S.
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 30.03.2019
• Subjects: Black or African American; Clinical outcomes; Computer Simulation; continuous outcome; Female; Humans; linear regression; Medical research; minimum sample size; multivariable prediction model; Multivariate Analysis; Regression analysis; Respiratory Function Tests; R‐squared; Sample Size; continuous outcome; linear regression; minimum sample size; R-squared; multivariable prediction model

In the medical literature, hundreds of prediction models are being developed to predict health outcomes in individuals. For continuous outcomes, typically a linear regression model is developed to predict an individual's outcome value conditional on values of multiple predictors (covariates). T...