Literature DB >> 2281233

Testing for imbalance of covariates in controlled experiments.

T Permutt1.   

Abstract

Results of a controlled experiment are often adjusted for covariates found by a preliminary test to differ significantly between the treatment and control groups. The resulting test's true significance level is lower than the nominal level. Greater power can be achieved by always adjusting for a covariate that is highly correlated with the response regardless of its distribution between groups.

Mesh:

Year:  1990        PMID: 2281233     DOI: 10.1002/sim.4780091209

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  12 in total

1.  Robust extraction of covariate information to improve estimation efficiency in randomized trials.

Authors:  Kelly L Moore; Romain Neugebauer; Thamban Valappil; Mark J Laan
Journal:  Stat Med       Date:  2011-07-12       Impact factor: 2.373

Review 2.  A tutorial on methods to estimating clinically and policy-meaningful measures of treatment effects in prospective observational studies: a review.

Authors:  Peter C Austin; Andreas Laupacis
Journal:  Int J Biostat       Date:  2011-01-06       Impact factor: 0.968

3.  Lasso adjustments of treatment effect estimates in randomized experiments.

Authors:  Adam Bloniarz; Hanzhong Liu; Cun-Hui Zhang; Jasjeet S Sekhon; Bin Yu
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-05       Impact factor: 11.205

4.  Improving massive experiments with threshold blocking.

Authors:  Michael J Higgins; Fredrik Sävje; Jasjeet S Sekhon
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-05       Impact factor: 11.205

5.  The albumin in acute stroke (ALIAS) multicenter clinical trial: safety analysis of part 1 and rationale and design of part 2.

Authors:  Myron D Ginsberg; Yuko Y Palesch; Renee H Martin; Michael D Hill; Claudia S Moy; Bonnie D Waldman; Sharon D Yeatts; Diego Tamariz; Karla Ryckborst
Journal:  Stroke       Date:  2010-12-16       Impact factor: 7.914

6.  Randomized Effectiveness Trial of the New Beginnings Program for Divorced Families with Children and Adolescents.

Authors:  Irwin Sandler; Sharlene Wolchik; Gina Mazza; Heather Gunn; Jenn-Yun Tein; Cady Berkel; Sarah Jones; Michele Porter
Journal:  J Clin Child Adolesc Psychol       Date:  2019-01-15

7.  Improving the care for people with acute low-back pain by allied health professionals (the ALIGN trial): A cluster randomised trial protocol.

Authors:  Joanne E McKenzie; Denise A O'Connor; Matthew J Page; Duncan S Mortimer; Simon D French; Bruce F Walker; Jennifer L Keating; Jeremy M Grimshaw; Susan Michie; Jill J Francis; Sally E Green
Journal:  Implement Sci       Date:  2010-11-10       Impact factor: 7.327

8.  Exercise therapy, manual therapy, or both, for osteoarthritis of the hip or knee: a factorial randomised controlled trial protocol.

Authors:  J Haxby Abbott; M Clare Robertson; Joanne E McKenzie; G David Baxter; Jean-Claude Theis; A John Campbell
Journal:  Trials       Date:  2009-02-08       Impact factor: 2.279

9.  Discussion on "Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomes" by David Benkeser, Ivan Diaz, Alex Luedtke, Jodi Segal, Daniel Scharfstein, and Michael Rosenblum.

Authors:  Lisa M LaVange
Journal:  Biometrics       Date:  2021-06-09       Impact factor: 1.701

10.  IMPLEmenting a clinical practice guideline for acute low back pain evidence-based manageMENT in general practice (IMPLEMENT): cluster randomised controlled trial study protocol.

Authors:  Joanne E McKenzie; Simon D French; Denise A O'Connor; Jeremy M Grimshaw; Duncan Mortimer; Susan Michie; Jill Francis; Neil Spike; Peter Schattner; Peter M Kent; Rachelle Buchbinder; Sally E Green
Journal:  Implement Sci       Date:  2008-02-22       Impact factor: 7.327

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