Bayesian variable selection based on clinical relevance weights in small sample studies—Application to colon cancer

• Published in: Statistics in medicine Vol. 38; no. 12; pp. 2228 - 2247
• Main Authors: Boulet, Sandrine, Ursino, Moreno, Thall, Peter, Jannot, Anne‐Sophie, Zohar, Sarah
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 30.05.2019; Wiley-Blackwell; John Wiley and Sons Inc
• Subjects: Bayes Theorem; Bayesian analysis; Cancer; clinical relevance weights elicitation; Colonic Neoplasms - drug therapy; Colorectal cancer; Computer Simulation; Decision making; Decision Support Systems, Clinical; Humans; informative priors; Life Sciences; Medical treatment; Methodology; repeated measures; Sample Size; Statistics; Stochastic models; Stochastic Processes; stochastic search variable selection; Within-subjects design; stochastic search variable selection; clinical relevance weights elicitation; informative priors; repeated measures

Using clinical data to model the medical decisions behind sequential treatment actions raises methodological challenges. Physicians often have access to many covariates that may be used when making sequential treatment decisions for individual patients. Statistical variable selection methods may hel...