Literature DB >> 17044139

Sizing a trial to alter the trajectory of health behaviours: methods, parameter estimates, and their application.

David M Murray1, Jonathan L Blitstein, Peter J Hannan, William L Baker, Leslie A Lytle.   

Abstract

Group-randomized trials often involve repeat observations on the same participants. When there are no more than two observations from each participant, standard mixed-model regression methods for a pretest-posttest design can be used. When there are more than two observations from each participant, random coefficients models may be useful. This paper describes the random coefficients analysis appropriate to data from an extended nested cohort design and presents the methods for power analysis and sample size calculations based on that analysis. We provide estimates for the parameters required for those calculations for a number of adolescent health behaviours. We also show how the estimates can be used to plan a future trial. Copyright 2006 John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17044139     DOI: 10.1002/sim.2714

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


  13 in total

1.  Comparing the Effectiveness of CDSS on Provider's Behaviors to Implement Obesity Prevention Guidelines.

Authors:  Diane J Skiba; Bonnie Gance-Cleveland; Kevin Gilbert; Lynn Gilbert; Danielle Dandreaux
Journal:  NI 2012 (2012)       Date:  2012-06-23

Review 2.  Review of Recent Methodological Developments in Group-Randomized Trials: Part 1-Design.

Authors:  Elizabeth L Turner; Fan Li; John A Gallis; Melanie Prague; David M Murray
Journal:  Am J Public Health       Date:  2017-04-20       Impact factor: 9.308

3.  Constrained randomization and statistical inference for multi-arm parallel cluster randomized controlled trials.

Authors:  Yunji Zhou; Elizabeth L Turner; Ryan A Simmons; Fan Li
Journal:  Stat Med       Date:  2022-02-10       Impact factor: 2.373

4.  Sample size requirements to detect an intervention by time interaction in longitudinal cluster randomized clinical trials with random slopes.

Authors:  Moonseong Heo; Xiaonan Xue; Mimi Y Kim
Journal:  Comput Stat Data Anal       Date:  2013-04-01       Impact factor: 1.681

5.  A barber-based intervention for hypertension in African American men: design of a group randomized trial.

Authors:  Ronald G Victor; Joseph E Ravenell; Anne Freeman; Deepa G Bhat; Joy S Storm; Moiz Shafiq; Patricia Knowles; Peter J Hannan; Robert Haley; David Leonard
Journal:  Am Heart J       Date:  2009-01       Impact factor: 4.749

6.  Electronic medical record-assisted design of a cluster-randomized trial to improve diabetes care and outcomes.

Authors:  Thomas E Love; Randall D Cebul; Douglas Einstadter; Anil K Jain; Holly Miller; C Martin Harris; Peter J Greco; Scott S Husak; Neal V Dawson
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

7.  Power and Sample Size for Fixed-Effects Inference in Reversible Linear Mixed Models.

Authors:  Yueh-Yun Chi; Deborah H Glueck; Keith E Muller
Journal:  Am Stat       Date:  2018-06-04       Impact factor: 8.710

8.  Sample size requirements to detect an intervention by time interaction in longitudinal cluster randomized clinical trials.

Authors:  Moonseong Heo; Andrew C Leon
Journal:  Stat Med       Date:  2009-03-15       Impact factor: 2.373

9.  Impact of subject attrition on sample size determinations for longitudinal cluster randomized clinical trials.

Authors:  Moonseong Heo
Journal:  J Biopharm Stat       Date:  2014       Impact factor: 1.051

10.  A benefit-finding intervention for family caregivers of persons with Alzheimer disease: study protocol of a randomized controlled trial.

Authors:  Sheung-Tak Cheng; Rosanna W L Lau; Emily P M Mak; Natalie S S Ng; Linda C W Lam; Helene H Fung; Julian C L Lai; Timothy Kwok; Diana T F Lee
Journal:  Trials       Date:  2012-07-02       Impact factor: 2.279

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