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Critique of Misidentified Selection Bias and Redefinement of Sufficient Statistics for Treatment Effects and Causal Inference using Quadruple Randomized Controlled Trials (QRCT)PDF

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Title:Critique of Misidentified Selection Bias and Redefinement of Sufficient Statistics for Treatment Effects and Causal Inference using Quadruple Randomized Controlled Trials (QRCT)
Author(s):Choi, Eun Chul
Degree:Ph.D. (doctoral)
Genre:Dissertation
Subject(s):Quadruple Randomized Controlled Trials (QRCT)
RCT
Causality
Causal Inference
Selection bias
Abstract:In defining selection bias, we have considered only the parallel universe of the treated group or the untreated group rather than including the parallel universe of the untreated group or the treated group. This makes causal inference theories unbalanced because they were developed on one side of treated or untreated group while the other side remained static. In this paper, we redefined selection bias by considering all four existing universes in the real and hypothetical worlds, and we provided sufficient statistics for estimating the effects of treatment with Quadruple Randomized Controlled Trials (QRCT)
Issue Date:2019-02-12
Publisher:Illinois Digital Environment for Access to Learning and Scholarship (IDEALS)
Citation Info:Choi, E.C. 2019. "Critique of Misidentified Selection Bias and Redefinement of Sufficient Statistics for Treatment Effects and Causal Inference using Quadruple Randomized Controlled Trials (QRCT)." Illinois Digital Environment for Access to Learning and Scholarship (IDEALS).
Genre:Working / Discussion Paper
Type:Text
Language:English
URI:http://hdl.handle.net/2142/103235
Date Available in IDEALS:2019-03-19


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