Literature DB >> 17136746

Developments in cluster randomized trials and Statistics in Medicine.

M J Campbell1, A Donner, N Klar.   

Abstract

The design and analysis of cluster randomized trials has been a recurrent theme in Statistics in Medicine since the early volumes. In celebration of 25 years of Statistics in Medicine, this paper reviews recent developments, particularly those that featured in the journal. Issues in design such as sample size calculations, matched paired designs, cohort versus cross-sectional designs, and practical design problems are covered. Developments in analysis include modification of robust methods to cope with small numbers of clusters, generalized estimation equations, population averaged and cluster specific models. Finally, issues on presenting data, some other clustering issues and the general problem of evaluating complex interventions are briefly mentioned.

Mesh:

Year:  2007        PMID: 17136746     DOI: 10.1002/sim.2731

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


  106 in total

1.  Adaptive pre-specification in randomized trials with and without pair-matching.

Authors:  Laura B Balzer; Mark J van der Laan; Maya L Petersen
Journal:  Stat Med       Date:  2016-07-19       Impact factor: 2.373

Review 2.  Strategies for postmarketing surveillance of drugs and devices in patients with ESRD undergoing dialysis.

Authors:  Moshe Vardi; Robert W Yeh; Charles A Herzog; Wolfgang C Winkelmayer; Soko Setoguchi; David M Charytan
Journal:  Clin J Am Soc Nephrol       Date:  2013-08-22       Impact factor: 8.237

Review 3.  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

4.  Causal Inference for a Population of Causally Connected Units.

Authors:  Mark J van der Laan
Journal:  J Causal Inference       Date:  2014-03

5.  ADAPTIVE MATCHING IN RANDOMIZED TRIALS AND OBSERVATIONAL STUDIES.

Authors:  Mark J van der Laan; Laura B Balzer; Maya L Petersen
Journal:  J Stat Res       Date:  2012-12-01

6.  Impact of non-interruptive medication laboratory monitoring alerts in ambulatory care.

Authors:  Helen G Lo; Michael E Matheny; Diane L Seger; David W Bates; Tejal K Gandhi
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

7.  Sample size considerations in the design of cluster randomized trials of combination HIV prevention.

Authors:  Rui Wang; Ravi Goyal; Quanhong Lei; M Essex; Victor De Gruttola
Journal:  Clin Trials       Date:  2014-06       Impact factor: 2.486

8.  ARTIST (osteoarthritis intervention standardized) study of standardised consultation versus usual care for patients with osteoarthritis of the knee in primary care in France: pragmatic randomised controlled trial.

Authors:  P Ravaud; R-M Flipo; I Boutron; C Roy; A Mahmoudi; B Giraudeau; T Pham
Journal:  BMJ       Date:  2009-02-23

9.  Developing and evaluating complex interventions: the new Medical Research Council guidance.

Authors:  Peter Craig; Paul Dieppe; Sally Macintyre; Susan Michie; Irwin Nazareth; Mark Petticrew
Journal:  BMJ       Date:  2008-09-29

10.  Comparison of Bayesian and classical methods in the analysis of cluster randomized controlled trials with a binary outcome: the Community Hypertension Assessment Trial (CHAT).

Authors:  Jinhui Ma; Lehana Thabane; Janusz Kaczorowski; Larry Chambers; Lisa Dolovich; Tina Karwalajtys; Cheryl Levitt
Journal:  BMC Med Res Methodol       Date:  2009-06-16       Impact factor: 4.615

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