activity
20172022
most citedTwo-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized Trials

44 citations · 60 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2022★ 1 cited

Efficient and Robust Approaches for Analysis of SMARTs: Illustration using the ADAPT-R Trial

Lina M. Montoya, Michael R. Kosorok, Elvin H. Geng +3

Personalized intervention strategies, in particular those that modify treatment based on a participant's own response, are a core component of precision medicine approaches. Sequen…

stat.ME2021★ 44 cited

Two-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized Trials

Laura B. Balzer, Mark van der Laan, James Ayieko +5

Cluster randomized trials (CRTs) randomly assign an intervention to groups of individuals (e.g., clinics or communities) and measure outcomes on individuals in those groups. While…

math.ST2018★ 2 cited

Robust variance estimation and inference for causal effect estimation

Linh Tran, Maya Petersen, Joshua Schwab +1

We consider a longitudinal data structure consisting of baseline covariates, time-varying treatment variables, intermediate time-dependent covariates, and a possibly time dependent…

stat.AP2018★ 5 cited

Statistical Analysis Plan for SEARCH Phase I: Health Outcomes among Adults

Laura B. Balzer, Diane V. Havlir, Joshua Schwab +2

This document provides the analytic plan for evaluating adult HIV incidence, health, and implementation outcomes for the first phase of the SEARCH Study. Locked: November 27, 2017.…

stat.ME2017★ 8 cited

On Adaptive Propensity Score Truncation in Causal Inference

Cheng Ju, Joshua Schwab, Mark J. van der Laan

The positivity assumption, or the experimental treatment assignment (ETA) assumption, is important for identifiability in causal inference. Even if the positivity assumption holds,…