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07/04/2023
Identifying Optimal Methods for Addressing Confounding Bias When Estimating the Effects of State-Level Policies
Background: Policy evaluation studies that assess how state-level polici...
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05/12/2023
An Application of the Causal Roadmap in Two Safety Monitoring Case Studies: Covariate-Adjustment and Outcome Prediction using Electronic Health Record Data
Real-world data, such as administrative claims and electronic health rec...
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03/31/2023
Efficiently transporting average treatment effects using a sufficient subset of effect modifiers
We develop flexible and nonparametric estimators of the average treatmen...
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03/28/2023
Comparing Machine Learning Methods for Estimating Heterogeneous Treatment Effects by Combining Data from Multiple Randomized Controlled Trials
Individualized treatment decisions can improve health outcomes, but usin...
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03/09/2023
Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects
An important strategy for identifying principal causal effects, which ar...
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02/26/2023
Methods for Integrating Trials and Non-Experimental Data to Examine Treatment Effect Heterogeneity
Estimating treatment effects conditional on observed covariates can impr...
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01/17/2023
Multiple imputation for propensity score analysis with covariates missing at random: some clarity on within and across methods
In epidemiology and social sciences, propensity score methods are popula...
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09/28/2021
Estimating subgroup effects in generalizability and transportability analyses
Methods for extending – generalizing or transporting – inferences from a...
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09/03/2021
Teacher Mental Health During the COVID-19 Pandemic: Informing Policies to Support Teacher Well-being and Effective Teaching Practices
While there is an emergence of research investigating the educational im...
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06/19/2021
Choosing the Estimand When Matching or Weighting in Observational Studies
Matching and weighting methods for observational studies require the cho...
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06/08/2021
Methodological considerations for estimating policy effects in the context of co-occurring policies
Objective. Understanding how best to estimate state-level policy effects...
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04/13/2021
Center-specific causal inference with multicenter trials: reinterpreting trial evidence in the context of each participating center
In multicenter randomized trials, when effect modifiers have a different...
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03/24/2021
Consistency between household and county measures of K-12 onsite schooling during the COVID-19 pandemic
The academic, socioemotional, and health impacts of school policies thro...
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02/11/2021
Clarifying causal mediation analysis: From simple to more robust strategies for estimation of marginal natural (in)direct effects
This paper aims to contribute to helping practitioners of causal mediati...
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12/21/2020
Global Trends and Predictors of Face Mask Usage During the COVID-19 Pandemic
Background: Guidelines and recommendations from public health authoritie...
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11/25/2020
Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, eff
Background: Randomized controlled trials are often used to inform policy...
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11/18/2020
Clarifying causal mediation analysis for the applied researcher: Effect identification via three assumptions and five potential outcomes
Causal mediation analysis is complicated with multiple effect definition...
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11/11/2020
A trial emulation approach for policy evaluations with group-level longitudinal data
To limit the spread of the novel coronavirus, governments across the wor...
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09/03/2020
Policy evaluation in COVID-19: A graphical guide to common design issues
Policy responses to COVID-19, particularly those related to non-pharmace...
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03/26/2020
Variation in Performance of Commonly Used Statistical Methods for Estimating Effectiveness of State-Level Opioid Policies on Opioid-Related Mortality
Over the last two decades, there has been a surge of opioid-related over...
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03/17/2020
Generalizing Randomized Trial Findings to a Target Population using Complex Survey Population Data
Randomized trials are considered the gold standard for estimating causal...
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10/12/2019
Partially Pooled Propensity Score Models for Average Treatment Effect Estimation with Multilevel Data
Causal inference analyses often use existing observational data, which i...
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07/30/2019
Propensity score analysis with latent covariates: Measurement error bias correction using the covariate's posterior mean, aka the inclusive factor score
We address measurement error bias in propensity score (PS) analysis due ...
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07/24/2019
Transportability of Outcome Measurement Error Correction: from Validation Studies to Intervention Trials
Many lifestyle intervention trials depend on collecting self-reported ou...
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04/17/2019
Clarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learn
The incorporation of causal inference in mediation analysis has led to t...
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05/01/2018
