Literature DB >> 28093263

"Cross-sectional" stepped wedge designs always reduce the required sample size when there is no time effect.

Xin Zhou1, Xiaomei Liao2, Donna Spiegelman3.   

Abstract

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Year:  2017        PMID： 28093263      PMCID： PMC5517056          DOI： 10.1016/j.jclinepi.2016.12.011

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN： 0895-4356            Impact factor:   6.437


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  6 in total

1.  A note on "Design and analysis of stepped wedge cluster randomized trials".

Authors:  Xiaomei Liao; Xin Zhou; Donna Spiegelman
Journal:  Contemp Clin Trials       Date:  2015-09-21       Impact factor: 2.226

Review 2.  Design and analysis of stepped wedge cluster randomized trials.

Authors:  Michael A Hussey; James P Hughes
Journal:  Contemp Clin Trials       Date:  2006-07-07       Impact factor: 2.226

3.  The efficiency of stepped wedge vs. cluster randomized trials: stepped wedge studies do not always require a smaller sample size.

Authors:  Karla Hemming; Alan Girling
Journal:  J Clin Epidemiol       Date:  2013-09-10       Impact factor: 6.437

4.  The stepped wedge cluster randomized trial always requires fewer clusters but not always fewer measurements, that is, participants than a parallel cluster randomized trial in a cross-sectional design. In reply.

Authors:  Esther de Hoop; Willem Woertman; Steven Teerenstra
Journal:  J Clin Epidemiol       Date:  2013-09-08       Impact factor: 6.437

5.  Stepped wedge designs could reduce the required sample size in cluster randomized trials.

Authors:  Willem Woertman; Esther de Hoop; Mirjam Moerbeek; Sytse U Zuidema; Debby L Gerritsen; Steven Teerenstra
Journal:  J Clin Epidemiol       Date:  2013-03-22       Impact factor: 6.437

6.  Institutionalizing postpartum intrauterine device (IUD) services in Sri Lanka, Tanzania, and Nepal: study protocol for a cluster-randomized stepped-wedge trial.

Authors:  David Canning; Iqbal H Shah; Erin Pearson; Elina Pradhan; Mahesh Karra; Leigh Senderowicz; Till Bärnighausen; Donna Spiegelman; Ana Langer
Journal:  BMC Pregnancy Childbirth       Date:  2016-11-21       Impact factor: 3.007
  6 in total
  6 in total

1.  swdpwr: A SAS macro and an R package for power calculations in stepped wedge cluster randomized trials.

Authors:  Jiachen Chen; Xin Zhou; Fan Li; Donna Spiegelman
Journal:  Comput Methods Programs Biomed       Date:  2021-11-12       Impact factor: 5.428

2.  Power calculation for analyses of cross-sectional stepped-wedge cluster randomized trials with binary outcomes via generalized estimating equations.

Authors:  Linda J Harrison; Rui Wang
Journal:  Stat Med       Date:  2021-09-23       Impact factor: 2.373

3.  Analysis of stepped wedge cluster randomized trials in the presence of a time-varying treatment effect.

Authors:  Avi Kenny; Emily C Voldal; Fan Xia; Patrick J Heagerty; James P Hughes
Journal:  Stat Med       Date:  2022-06-30       Impact factor: 2.497

4.  Explaining the variation in the attained power of a stepped-wedge trial with unequal cluster sizes.

Authors:  Yongdong Ouyang; Mohammad Ehsanul Karim; Paul Gustafson; Thalia S Field; Hubert Wong
Journal:  BMC Med Res Methodol       Date:  2020-06-24       Impact factor: 4.615

Review 5.  Mixed-effects models for the design and analysis of stepped wedge cluster randomized trials: An overview.

Authors:  Fan Li; James P Hughes; Karla Hemming; Monica Taljaard; Edward R Melnick; Patrick J Heagerty
Journal:  Stat Methods Med Res       Date:  2020-07-06       Impact factor: 3.021

6.  Association Between Self-Perceived Stigma and Quality of Life Among Urban Chinese Older Adults: The Moderating Role of Attitude Toward Own Aging and Traditionality.

Authors:  Tao Sun; Shu-E Zhang; Meng-Yao Yan; Ting-Hui Lian; Yi-Qi Yu; Hong-Yan Yin; Chen-Xi Zhao; Yan-Ping Wang; Xiao Chang; Ke-Yu Ji; Si-Yu Cheng; Xiao-He Wang; Xian-Hong Huang; De-Pin Cao
Journal:  Front Public Health       Date:  2022-02-11
  6 in total

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