Literature DB >> 7997705

Testing for baseline balance in clinical trials.

S Senn1.   

Abstract

Once the data from a clinical trial are available for analysis it is common practice to carry out 'tests of baseline homogeneity' on prognostic covariates before proceeding to analyse the effects of treatment on outcome variables. It is argued that this practice is philosophically unsound, of no practical value and potentially misleading. Instead it is recommended that prognostic variables be identified in the trial-plan and fitted in an analysis of covariance regardless of their baseline distribution (statistical significance).

Mesh:

Year:  1994        PMID: 7997705     DOI: 10.1002/sim.4780131703

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


  108 in total

1.  Understanding controlled trials: baseline imbalance in randomised controlled trials.

Authors:  C Roberts; D J Torgerson
Journal:  BMJ       Date:  1999-07-17

2.  A comparison of the statistical power of different methods for the analysis of repeated cross-sectional cluster randomization trials with binary outcomes.

Authors:  Peter C Austin
Journal:  Int J Biostat       Date:  2010-03-29       Impact factor: 0.968

3.  Efficacy, safety, and tolerability of augmentation pharmacotherapy with aripiprazole for treatment-resistant depression in late life: a randomised, double-blind, placebo-controlled trial.

Authors:  Eric J Lenze; Benoit H Mulsant; Daniel M Blumberger; Jordan F Karp; John W Newcomer; Stewart J Anderson; Mary Amanda Dew; Meryl A Butters; Jacqueline A Stack; Amy E Begley; Charles F Reynolds
Journal:  Lancet       Date:  2015-09-27       Impact factor: 79.321

4.  Choice of statistical model for cost-effectiveness analysis and covariate adjustment: empirical application of prominent models and assessment of their results.

Authors:  Theodoros Mantopoulos; Paul M Mitchell; Nicky J Welton; Richard McManus; Lazaros Andronis
Journal:  Eur J Health Econ       Date:  2015-10-07

5.  The Adaptive designs CONSORT Extension (ACE) statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design.

Authors:  Munyaradzi Dimairo; Philip Pallmann; James Wason; Susan Todd; Thomas Jaki; Steven A Julious; Adrian P Mander; Christopher J Weir; Franz Koenig; Marc K Walton; Jon P Nicholl; Elizabeth Coates; Katie Biggs; Toshimitsu Hamasaki; Michael A Proschan; John A Scott; Yuki Ando; Daniel Hind; Douglas G Altman
Journal:  BMJ       Date:  2020-06-17

6.  Reliability and responsiveness of virtual portion size creation tasks: Influences of context, foods, and a bariatric surgical procedure.

Authors:  Jeon D Hamm; Jany Dotel; Shoran Tamura; Ari Shechter; Musya Herzog; Jeffrey M Brunstrom; Jeanine Albu; F Xavier Pi-Sunyer; Blandine Laferrère; Harry R Kissileff
Journal:  Physiol Behav       Date:  2020-06-06

7.  Minimal sufficient balance-a new strategy to balance baseline covariates and preserve randomness of treatment allocation.

Authors:  Wenle Zhao; Michael D Hill; Yuko Palesch
Journal:  Stat Methods Med Res       Date:  2012-01-26       Impact factor: 3.021

Review 8.  Reporting attrition in randomised controlled trials.

Authors:  Jo C Dumville; David J Torgerson; Catherine E Hewitt
Journal:  BMJ       Date:  2006-04-22

9.  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

10.  The impact of covariate adjustment at randomization and analysis for binary outcomes: understanding differences between superiority and noninferiority trials.

Authors:  Katherine Nicholas; Sharon D Yeatts; Wenle Zhao; Jody Ciolino; Keith Borg; Valerie Durkalski
Journal:  Stat Med       Date:  2015-02-02       Impact factor: 2.373

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