Critique of Misidentified Selection Bias and Redefinement of Sufficient Statistics for Treatment Effects and Causal Inference using Quadruple Randomized Controlled Trials (QRCT)
Choi, Eun Chul
Loading…
Permalink
https://hdl.handle.net/2142/103235
Description
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
Issue Date
2019-02-12
Keyword(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)
Publisher
Illinois Digital Environment for Access to Learning and Scholarship (IDEALS)
This is the default collection for all research and scholarship developed by faculty, staff, or students at the University of Illinois at Urbana-Champaign
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.