Improving the Estimation of Subgroup Effects for Clinical Trial Participants with Multimorbidity by Incorporating Drug Class-Level Information in Bayesian Hierarchical Models: A Simulation Study.
Laurie John HanniganDavid M PhillippoPeter HanlonLaura MossElaine W ButterlyNeil HawkinsSofia DiasNicky J WeltonDavid A McAllisterPublished in: Medical decision making : an international journal of the Society for Medical Decision Making (2021)
By assuming that similar drugs may have similar subgroup effects, Bayesian hierarchical models based on structures defined by existing ontologies can be used to improve the precision of treatment efficacy estimates in patients with multimorbidity, with potential implications for clinical decision making.