Clinician preferences and the estimation of causal treatment differences. (With comments)

DOI10.1214/ss/1028905885zbMath1099.62542OpenAlexW1584384099MaRDI QIDQ1400099

Edward L. Korn, Sheldon Baumrind

Publication date: 13 August 2003

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/ss/1028905885

zbMATH Keywords

causal effectsobservational studiesrandomized clinical trialsselection biasinstrumental variablesethicsBayesian methods

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (5)

Heterogeneous treatment effects: instrumental variables without monotonicity? ⋮ Instrumental variable estimation with a stochastic monotonicity assumption ⋮ Estimation of causal effects using instrumental variables with nonignorable missing covariates: application to effect of type of delivery NICU on premature infants ⋮ Using explicit clinician preferences in nonrandomized study designs ⋮ Empirical Likelihood in Causal Inference

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• Ethics and statistics in randomized clinical trials. With comments and a rejoinder by the author
• Identification of Causal Effects Using Instrumental Variables
• The central role of the propensity score in observational studies for causal effects
• Statistics and Causal Inference
• Bayesian Methods in Practice: Experiences in the Pharmaceutical Industry
• Bayesian Subset Analysis
• Bayesian Approaches to Randomized Trials
• Forcing a sequential experiment to be balanced
• Using explicit clinician preferences in nonrandomized study designs

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