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

DOI10.1002/sim.9511zbMATH Open1547.62303MaRDI QIDQ6628559

Avi Kenny, Fan Xia, James P. Hughes, Emily C. Voldal, Patrick J. Heagerty

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

model misspecificationcluster randomized trialstepped wedgetime-varying treatment effect

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Difference-in-differences with multiple time periods
• A Bayesian Approach to Non-Parametric Monotone Function Estimation
• Robust inference for the stepped wedge design
• Information content of cluster–period cells in stepped wedge trials
• The elements of statistical learning. Data mining, inference, and prediction
• Accounting for a decaying correlation structure in cluster randomized trials with continuous recruitment
• Novel methods for the analysis of stepped wedge cluster randomized trials
• Model misspecification in stepped wedge trials: random effects for time or treatment
• Information content of stepped-wedge designs when treatment effect heterogeneity and/or implementation periods are present

Related Items (4)

Cluster randomized trial designs for modeling time-varying intervention effects ⋮ Robust analysis of stepped wedge trials using composite likelihood models ⋮ Power analyses for stepped wedge designs with multivariate continuous outcomes ⋮ Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations

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