
Estimating subgroup effects in generalizability and transportability analyses
Methods for extending – generalizing or transporting – inferences from a...
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Teacher Mental Health During the COVID19 Pandemic: Informing Policies to Support Teacher Wellbeing and Effective Teaching Practices
While there is an emergence of research investigating the educational im...
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Choosing the Estimand When Matching or Weighting in Observational Studies
Matching and weighting methods for observational studies require the cho...
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Methodological considerations for estimating policy effects in the context of cooccurring policies
Objective. Understanding how best to estimate statelevel policy effects...
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Centerspecific 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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Consistency between household and county measures of K12 onsite schooling during the COVID19 pandemic
The academic, socioemotional, and health impacts of school policies thro...
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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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Global Trends and Predictors of Face Mask Usage During the COVID19 Pandemic
Background: Guidelines and recommendations from public health authoritie...
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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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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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A trial emulation approach for policy evaluations with grouplevel longitudinal data
To limit the spread of the novel coronavirus, governments across the wor...
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Policy evaluation in COVID19: A graphical guide to common design issues
Policy responses to COVID19, particularly those related to nonpharmace...
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Variation in Performance of Commonly Used Statistical Methods for Estimating Effectiveness of StateLevel Opioid Policies on OpioidRelated Mortality
Over the last two decades, there has been a surge of opioidrelated over...
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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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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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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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Transportability of Outcome Measurement Error Correction: from Validation Studies to Intervention Trials
Many lifestyle intervention trials depend on collecting selfreported ou...
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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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Transporting inferences from a randomized trial to a new target population
When variables that are treatment effect modifiers also influence the de...
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Elizabeth A. Stuart
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