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

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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Bibliographic Details
Main Authors: Meid AD, Ruff C, Wirbka L, Stoll F, Seidling HM, Groll A, Haefeli WE
Format: Article
Language:English
Published: Dove Medical Press 2020-11-01
Series:Clinical Epidemiology
Subjects:
claims data
decision-making
heterogeneous treatment effects
effect modification
confounding by indication
prediction-based decision rules
Online Access:https://www.dovepress.com/using-the-causal-inference-framework-to-support-individualized-drug-tr-peer-reviewed-article-CLEP

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https://www.dovepress.com/using-the-causal-inference-framework-to-support-individualized-drug-tr-peer-reviewed-article-CLEP

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