5 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…
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…
Learn-As-you-GO (LAGO) Trials: Optimizing Trials for Effectiveness and Power to Prevent Failed Trials
Ante Bing, Donna Spiegelman, Judith J. Lok
The Learn-As-you-GO (LAGO) design provides a rigorous framework for adapting the intervention package based on accumulating data while the trial is ongoing. This article improves t…
Estimating treatment effects from observational data under truncation by death using survival-incorporated quantiles
Qingyan Xiang, Paola Sebastiani, Thomas Perls +4
The issue of "truncation by death" commonly arises in clinical research: subjects may die before their follow-up assessment, resulting in undefined clinical outcomes. To address th…
Defining and estimating causal direct and indirect effects when setting the mediator to specific values is not feasible
Judith J. Lok
Natural direct and indirect effects decompose the effect of a treatment into the part that is mediated by a covariate (the mediator) and the part that is not. Their definitions rel…