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Literature DB >> 32211886

Commentary: Right truncation in cluster randomized trials can attenuate the power of a marginal analysis.

Fan Li¹, Michael O Harhay^2,3.

Abstract

Mesh：

Year: 2020 PMID： 32211886 PMCID： PMC7394942 DOI： 10.1093/ije/dyaa037

Source DB: PubMed Journal: Int J Epidemiol ISSN： 0300-5771 Impact factor: 7.196

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8 in total

1. Extension of the modified Poisson regression model to prospective studies with correlated binary data.

Authors: G Y Zou; Allan Donner
Journal: Stat Methods Med Res Date: 2011-11-08 Impact factor: 3.021

2. Comparison of subject-specific and population averaged models for count data from cluster-unit intervention trials.

Authors: Mary L Young; John S Preisser; Bahjat F Qaqish; Mark Wolfson
Journal: Stat Methods Med Res Date: 2007-04 Impact factor: 3.021

Review 3. 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

4. An evaluation of constrained randomization for the design and analysis of group-randomized trials with binary outcomes.

Authors: Fan Li; Elizabeth L Turner; Patrick J Heagerty; David M Murray; William M Vollmer; Elizabeth R DeLong
Journal: Stat Med Date: 2017-08-07 Impact factor: 2.373

5. Sample size determination for GEE analyses of stepped wedge cluster randomized trials.

Authors: Fan Li; Elizabeth L Turner; John S Preisser
Journal: Biometrics Date: 2018-06-19 Impact factor: 2.571

6. Design and analysis considerations for cohort stepped wedge cluster randomized trials with a decay correlation structure.

Authors: Fan Li
Journal: Stat Med Date: 2019-12-04 Impact factor: 2.373

7. Power and sample size requirements for GEE analyses of cluster randomized crossover trials.

Authors: Fan Li; Andrew B Forbes; Elizabeth L Turner; John S Preisser
Journal: Stat Med Date: 2018-10-08 Impact factor: 2.373

8. Power calculations for cluster randomized trials (CRTs) with right-truncated Poisson-distributed outcomes: a motivating example from a malaria vector control trial.

Authors: Lazaro M Mwandigha; Keith J Fraser; Amy Racine-Poon; Mohamad-Samer Mouksassi; Azra C Ghani
Journal: Int J Epidemiol Date: 2020-06-01 Impact factor: 7.196