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20172025
most citedTwo-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized Trials

44 citations · 146 across the 16 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

stat.AP2021

Statistical Analysis Plan for Health Outcomes in Phase 1 of the SEARCH-IPT Study

Laura B. Balzer, Joshua Nugent, Diane V. Havlir +1

This document provides the statistical analytic plan (SAP) for evaluating health outcomes in Phase 1 of the SEARCH-IPT Study, a cluster randomized trial to evaluate whether a multi…

stat.AP2021★ 23 cited

Evaluating the Impact of State-Level Public Masking Mandates on New COVID-19 Cases and Deaths in the United States: A Demonstration of the Causal Roadmap

Angus K. Wong, Laura B. Balzer

At a national-level, we sought to investigate the effect of public masking mandates on COVID-19 in Fall 2020. Specifically, we aimed to evaluate how the relative growth of COVID-19…

stat.AP2021

Evaluating shifts in mobility and COVID-19 case rates in U.S. counties: A demonstration of modified treatment policies for causal inference with continuous exposures

Joshua R. Nugent, Laura B. Balzer

Previous research has shown mixed evidence on the associations between mobility data and COVID-19 case rates, analysis of which is complicated by differences between places on fact…

stat.ME2021★ 4 cited

Defining and Estimating Effects in Cluster Randomized Trials: A Methods Comparison

Alejandra Benitez, Maya L. Petersen, Mark J. van der Laan +7

Across research disciplines, cluster randomized trials (CRTs) are commonly implemented to evaluate interventions delivered to groups of participants, such as communities and clinic…

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…