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相关论文: Power Analysis for Stepped Wedge Trials with Two T…

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The Stepped Wedge Design (SWD) is a form of cluster randomized trial, usually comparing two treatments, which is divided into time periods and sequences, with clusters allocated to sequences. Typically all sequences start with the standard…

统计方法学 · 统计学 2020-11-06 John N. S. Matthews

Multivariate outcomes are common in pragmatic cluster randomized trials. While sample size calculation procedures for multivariate outcomes exist under parallel assignment, none have been developed for a stepped wedge design. In this…

统计方法学 · 统计学 2022-12-05 Kendra Davis-Plourde , Monica Taljaard , Fan Li

Stepped wedge designs (SWDs) are increasingly used to evaluate longitudinal cluster-level interventions but pose substantial challenges for valid inference. Because crossover times are randomized, intervention effects are intrinsically…

统计方法学 · 统计学 2026-05-12 Fan Xia , K. C. Gary Chan , Emily Voldal , Avi Kenny , Patrick J. Heagerty , James P. Hughes

Background and objective: The stepped wedge cluster randomized trial is a study design increasingly used for public health intervention evaluations. Most previous literature focuses on power calculations for this particular type of cluster…

应用统计 · 统计学 2021-07-07 Jiachen Chen , Xin Zhou , Fan Li , Donna Spiegelman

Stepped wedge cluster randomized trials (SW-CRTs) have become increasingly popular and are used for a variety of interventions and outcomes, often chosen for their feasibility advantages. SW-CRTs must account for time trends in the outcome…

统计方法学 · 统计学 2024-07-16 Lee Kennedy-Shaffer , Victor De Gruttola , Marc Lipsitch

A stepped wedge design is a unidirectional crossover design where clusters are randomized to distinct treatment sequences. While model-based analysis of stepped wedge designs is standard practice to evaluate treatment effects accounting for…

统计方法学 · 统计学 2024-09-13 Bingkai Wang , Xueqi Wang , Fan Li

A stepped wedge cluster randomized trial is a type of longitudinal cluster design that sequentially switches clusters to intervention over time until all clusters are treated. While the traditional posttest-only parallel design requires…

应用统计 · 统计学 2021-01-05 Fan Li

The traditional model specification of stepped-wedge cluster-randomized trials assumes a homogeneous treatment effect across time while adjusting for fixed-time effects. However, when treatment effects vary over time, the constant effect…

统计方法学 · 统计学 2025-04-22 Zhe Chen , Wei Wang , Yingying Lu , Scott D. Halpern , Katherine R. Courtright , Fan Li , Michael O. Harhay

Stepped wedge cluster randomized trials (SW-CRTs) are a form of randomized trial whereby clusters are progressively transitioned from control to intervention, with the timing of transition randomized for each cluster. An important task at…

统计方法学 · 统计学 2025-06-27 Mary Ryan Baumann , Denise Esserman , Monica Taljaard , Fan Li

Stepped wedge cluster randomized trials (SW-CRTs) have historically been analyzed using immediate treatment (IT) models, which assume the effect of the treatment is immediate after treatment initiation and subsequently remains constant over…

统计方法学 · 统计学 2025-11-25 Avi Kenny , Emily C. Voldal , Fan Xia , Kwun Chuen Gary Chan , Patrick J. Heagerty , James P. Hughes

Numerous publications have now addressed the principles of designing, analyzing, and reporting the results of, stepped-wedge cluster randomized trials. In contrast, there is little research available pertaining to the design and analysis of…

统计方法学 · 统计学 2018-06-29 Michael Grayling , Adrian Mander , James Wason

Stepped wedge cluster randomized controlled trials are typically analyzed using models that assume the full effect of the treatment is achieved instantaneously. We provide an analytical framework for scenarios in which the treatment effect…

统计方法学 · 统计学 2025-09-25 Avi Kenny , Emily Voldal , Fan Xia , Patrick J. Heagerty , James P. Hughes

In stepped wedge cluster randomized trials (SW-CRTs), the intervention is rolled out to clusters over multiple periods. A standard approach for analyzing SW-CRTs utilizes the linear mixed model, where the treatment effect is only present…

Both cluster randomized trials and quasi-experimental designs are used to evaluate the impact of health and social policies and interventions. Stepped-wedge cluster randomized trials randomize a staggered adoption approach, while recent…

统计方法学 · 统计学 2026-04-15 Haidong Lu , Gregg S. Gonsalves , Fan Li , Guanyu Tong , Lee Kennedy-Shaffer

Stepped-wedge cluster randomised trials (SW-CRTs) increasingly evaluate complex interventions, yet methodological guidance for analysing composite endpoints using generalized pairwise comparisons (GPC)remains limited. This work investigates…

Group sequential design (GSD) is widely used in clinical trials in which correlated tests of multiple hypotheses are used. Multiple primary objectives resulting in tests with known correlations include evaluating 1) multiple experimental…

统计方法学 · 统计学 2021-03-22 Keaven M. Anderson , Zifang Guo , Jing Zhao , Linda Z. Sun

Hybrid studies allow investigators to simultaneously study an intervention effectiveness outcome and an implementation research outcome. In particular, type 2 hybrid studies support research that places equal importance on both outcomes…

统计方法学 · 统计学 2024-11-15 Melody A. Owen , Geoffrey M. Curran , Justin D. Smith , Yacob Tedla , Chao Cheng , Donna Spiegelman

Stepped wedge cluster-randomized trial (CRTs) designs randomize clusters of individuals to intervention sequences, ensuring that every cluster eventually transitions from a control period to receive the intervention under study by the end…

统计方法学 · 统计学 2025-02-19 Alessandro Gasparini , Michael J. Crowther , Emiel O. Hoogendijk , Fan Li , Michael O. Harhay

Stepped-wedge cluster randomized trials (SW-CRTs) are traditionally analyzed with models that assume an immediate and sustained treatment effect. Previous work has shown that making such an assumption in the analysis of SW-CRTs when the…

统计方法学 · 统计学 2025-04-08 Kenneth M. Lee , Elizabeth L. Turner , Avi Kenny

We investigate the optimal design of experimental studies that have pre-treatment outcome data available. The average treatment effect is estimated as the difference between the weighted average outcomes of the treated and control units. A…

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