4 citations · 5 across the 17 of their papers we have counts for
11 papers · 1 filter
Uncovering Treatment Effect Heterogeneity in Pragmatic Gerontology Trials
Changjun Li, Heather Allore, Michael O. Harhay +2
Detecting heterogeneity in treatment response enriches the interpretation of gerontologic trials. In aging research, estimating the effect of the intervention on clinically meaning…
Evaluating Informative Cluster Size in Cluster Randomized Trials
Bryan S. Blette, Zhe Chen, Brennan C. Kahan +3
In cluster randomized trials, the average treatment effect among individuals (i-ATE) can be different from the cluster average treatment effect (c-ATE) when informative cluster siz…
Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
Jeffrey Zhang, Zhe Chen, Xinyuan Chen +5
While palliative care is increasingly commonly delivered to hospitalized patients with serious illnesses, few studies have estimated its causal effects. Courtright et al. (2016) ad…
Sample size calculations for multilevel factorial longitudinal cluster randomised trials
Rhys Bowden, Rebecca Walwyn, Jessica Kasza +4
Typically, trials investigate the impact of either an individual-level intervention on participant outcomes, or the impact of a cluster-level intervention on participant outcomes.…
Bayesian inference for cluster-randomized trials with multivariate outcomes subject to both truncation by death and missingness
Guangyu Tong, Chenxi Li, Eric Velazquez +2
Cluster-randomized trials (CRTs) on fragile populations frequently encounter complex attrition problems where the reasons for missing outcomes can be heterogeneous, with participan…
What is estimated in cluster randomized crossover trials with informative sizes? -- A survey of estimands and common estimators
Kenneth M. Lee, Andrew B. Forbes, Jessica Kasza +5
In the analysis of cluster randomized trials (CRTs), previous work has defined two meaningful estimands: the individual-average treatment effect (iATE) and cluster-average treatmen…
A Bayesian approach to the survivor average causal effect in cluster-randomized crossover trials
Dane Isenberg, Michael O. Harhay, Andrew B. Forbes +3
In cluster-randomized crossover (CRXO) trials, groups of individuals are randomly assigned to two or more sequences of alternating treatments. Since clusters serve as their own con…
Time-varying treatment effect models in stepped-wedge cluster-randomized trials with multiple interventions
Zhe Chen, Wei Wang, Yingying Lu +4
The traditional model specification of stepped-wedge cluster-randomized trials assumes a homogeneous treatment effect across time while adjusting for fixed-time effects. However, w…
On Anticipation Effect in Stepped Wedge Cluster Randomized Trials
Hao Wang, Xinyuan Chen, Katherine R. Courtright +4
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 linea…
A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
Mary Ryan Baumann, Monica Taljaard, Patrick J. Heagerty +4
Cluster-randomized trials (CRTs) are a well-established class of designs for evaluating community-based interventions. An essential task in planning these trials is determining the…
Semiparametric principal stratification analysis beyond monotonicity
Jiaqi Tong, Brennan Kahan, Michael O. Harhay +1
Intercurrent events, common in clinical trials and observational studies, affect the existence or interpretation of final outcomes. Principal stratification addresses this challeng…