Literature DB >> 7608345

When is it worth measuring a covariate in a randomized clinical trial?

D B Allison1.   

Abstract

In a randomized clinical trial, an experimenter can increase statistical power by including a covariate (e.g., a pretest). This will generally reduce the total number of participants needed to achieve a specified level of power. However, it will also increase the cost per participant. Thus, the question arises, "When do the savings incurred by needing fewer participants exceed the costs incurred by measuring each participant on the covariate?" A simple closed form expression is derived that applied researchers can use in the design phase of studies to answer this question.

Entities:  

Mesh:

Year:  1995        PMID: 7608345     DOI: 10.1037//0022-006x.63.3.339

Source DB:  PubMed          Journal:  J Consult Clin Psychol        ISSN: 0022-006X


  7 in total

1.  Transmission-disequilibrium tests for quantitative traits.

Authors:  D B Allison
Journal:  Am J Hum Genet       Date:  1997-03       Impact factor: 11.025

Review 2.  Best (but oft-forgotten) practices: designing, analyzing, and reporting cluster randomized controlled trials.

Authors:  Andrew W Brown; Peng Li; Michelle M Bohan Brown; Kathryn A Kaiser; Scott W Keith; J Michael Oakes; David B Allison
Journal:  Am J Clin Nutr       Date:  2015-05-27       Impact factor: 7.045

Review 3.  Common scientific and statistical errors in obesity research.

Authors:  Brandon J George; T Mark Beasley; Andrew W Brown; John Dawson; Rositsa Dimova; Jasmin Divers; TaShauna U Goldsby; Moonseong Heo; Kathryn A Kaiser; Scott W Keith; Mimi Y Kim; Peng Li; Tapan Mehta; J Michael Oakes; Asheley Skinner; Elizabeth Stuart; David B Allison
Journal:  Obesity (Silver Spring)       Date:  2016-04       Impact factor: 5.002

4.  The daily Self-Weighing for Obesity Management in Primary Care Study: Rationale, design and methodology.

Authors:  Gareth R Dutton; Amber W Kinsey; Carrie R Howell; Maria Pisu; Amy E Dobelstein; David B Allison; Pengcheng Xun; David A Levitsky; Kevin Fontaine
Journal:  Contemp Clin Trials       Date:  2021-05-31       Impact factor: 2.261

5.  Concerning Sichieri R, Cunha DB: Obes Facts 2014;7:221–232. The Assertion that Controlling for Baseline (Pre-Randomization) Covariates in Randomized Controlled Trials Leads to Bias is False.

Authors:  Peng Li; Andrew W Brown; John A Dawson; Kathryn A Kaiser; Michelle M Bohan Brown; Scott W Keith; J Michael Oakes; David B Allison
Journal:  Obes Facts       Date:  2015       Impact factor: 3.942

6.  Incorrect statistical method in parallel-groups RCT led to unsubstantiated conclusions.

Authors:  David B Allison; Lisa H Antoine; Brandon J George
Journal:  Lipids Health Dis       Date:  2016-04-15       Impact factor: 3.876

Review 7.  Errors in the implementation, analysis, and reporting of randomization within obesity and nutrition research: a guide to their avoidance.

Authors:  Colby J Vorland; Andrew W Brown; John A Dawson; Stephanie L Dickinson; Lilian Golzarri-Arroyo; Bridget A Hannon; Moonseong Heo; Steven B Heymsfield; Wasantha P Jayawardene; Chanaka N Kahathuduwa; Scott W Keith; J Michael Oakes; Carmen D Tekwe; Lehana Thabane; David B Allison
Journal:  Int J Obes (Lond)       Date:  2021-07-29       Impact factor: 5.095

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.