Skip to main content
release_alert
Welcome to the new Scholars 3.0! Read about new features and let us know what you think.
cancel
Journal cover image

A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials.

Publication ,  Journal Article
Zhang, Y; Preisser, JS; Turner, EL; Rathouz, PJ; Toles, M; Li, F
Published in: Statistical Methods in Medical Research
January 2023

Stepped wedge designs have uni-directional crossovers at randomly assigned time points (steps) where clusters switch from control to intervention condition. Incomplete stepped wedge designs are increasingly used in cluster randomized trials of health care interventions and have periods without data collection due to logistical, resource and patient-centered considerations. The development of sample size formulae for stepped wedge trials has primarily focused on complete designs and continuous responses. Addressing this gap, a general, fast, non-simulation based power procedure is proposed for generalized estimating equations analysis of complete and incomplete stepped wedge designs and its predicted power is compared to simulated power for binary and continuous responses. An extensive set of simulations for six and twelve clusters is based upon the Connect-Home trial with an incomplete stepped wedge design. Results show that empirical test size is well controlled using a t-test with bias-corrected sandwich variance estimator for as few as six clusters. Analytical power agrees well with a simulated power in scenarios with twelve clusters. For six clusters, analytical power is similar to simulated power with estimation using the correctly specified model-based variance estimator. To explore the impact of study design choice on power, the proposed fast GEE power method is applied to the Connect-Home trial design, four alternative incomplete stepped wedge designs and one complete design.

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Statistical Methods in Medical Research

DOI

EISSN

1477-0334

ISSN

0962-2802

Publication Date

January 2023

Volume

32

Issue

1

Start / End Page

71 / 87

Related Subject Headings

  • Statistics & Probability
  • Sample Size
  • Research Design
  • Randomized Controlled Trials as Topic
  • Humans
  • Cluster Analysis
  • Bias
  • 1117 Public Health and Health Services
  • 0104 Statistics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Zhang, Y., Preisser, J. S., Turner, E. L., Rathouz, P. J., Toles, M., & Li, F. (2023). A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials. Statistical Methods in Medical Research, 32(1), 71–87. https://doi.org/10.1177/09622802221129861
Zhang, Ying, John S. Preisser, Elizabeth L. Turner, Paul J. Rathouz, Mark Toles, and Fan Li. “A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials.Statistical Methods in Medical Research 32, no. 1 (January 2023): 71–87. https://doi.org/10.1177/09622802221129861.
Zhang Y, Preisser JS, Turner EL, Rathouz PJ, Toles M, Li F. A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials. Statistical Methods in Medical Research. 2023 Jan;32(1):71–87.
Zhang, Ying, et al. “A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials.Statistical Methods in Medical Research, vol. 32, no. 1, Jan. 2023, pp. 71–87. Epmc, doi:10.1177/09622802221129861.
Zhang Y, Preisser JS, Turner EL, Rathouz PJ, Toles M, Li F. A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials. Statistical Methods in Medical Research. 2023 Jan;32(1):71–87.
Journal cover image

Published In

Statistical Methods in Medical Research

DOI

EISSN

1477-0334

ISSN

0962-2802

Publication Date

January 2023

Volume

32

Issue

1

Start / End Page

71 / 87

Related Subject Headings

  • Statistics & Probability
  • Sample Size
  • Research Design
  • Randomized Controlled Trials as Topic
  • Humans
  • Cluster Analysis
  • Bias
  • 1117 Public Health and Health Services
  • 0104 Statistics