4 papers
Addressing Confounding by Indication Through (Un)Measured Centre Characteristics in Learn-As-you-GO(LAGO) Trials
Minh Thu Bui, Christopher T. Longenecker, Ante Bing +4
The Learn-As-you-Go (LAGO) design is an adaptive clinical trial design allowing modifications to multicomponent intervention packages across stages. Centers participate in more tha…
A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints
Melody Owen, Fan Li, Ruyi Liu +1
Hybrid type 2 studies are gaining popularity for their ability to assess both implementation and health outcomes as co-primary endpoints. Often conducted as cluster-randomized tria…
Optimizing Complex Health Intervention Packages through the Learn-As-you-GO (LAGO) Design
Donna Spiegelman, Dong Roman Xu, Ante Bing +11
In the face of vast numbers of preventable deaths worldwide and gaping disparities in their distribution, we cannot afford to conduct null and inconclusive effectiveness and implem…
Calibrated Bayes analysis of cluster-randomized trials
Ruyi Liu, Joshua L. Warren, Yuki Ohnishi +3
In cluster-randomized trials (CRTs), entire clusters of individuals are randomized to treatment, and outcomes within a cluster are typically correlated. While frequentist approache…