Using the Causal Inference Framework to Support Individualized Drug Treatment Decisions Based on Observational Healthcare Data

Andreas D Meid,1 Carmen Ruff,1 Lucas Wirbka,1 Felicitas Stoll,1 Hanna M Seidling,1,2 Andreas Groll,3 Walter E Haefeli1,2 1Department of Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg, Heidelberg 69120, Germany; 2Cooperation Unit Clinical Pharmacy, University of Heidelberg,...

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Главные авторы: Meid AD, Ruff C, Wirbka L, Stoll F, Seidling HM, Groll A, Haefeli WE
Формат: Artigo
Язык:Inglês
Опубликовано: Dove Medical Press 2020-11-01
Серии:Clinical Epidemiology
Предметы:
claims data
decision-making
heterogeneous treatment effects
effect modification
confounding by indication
prediction-based decision rules
Online-ссылка:https://www.dovepress.com/using-the-causal-inference-framework-to-support-individualized-drug-tr-peer-reviewed-article-CLEP
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