20 citations · 45 across the 11 of their papers we have counts for
12 papers
Identifying Optimal Methods for Addressing Confounding Bias When Estimating the Effects of State-Level Policies
Beth Ann Griffin, Megan S. Schuler, Elizabeth M. Stone +6
Background: Policy evaluation studies that assess how state-level policies affect health-related outcomes are foundational to health and social policy research. The relative abilit…
A tutorial for using propensity score weighting for moderation analysis: an application to smoking disparities among sexual minority adults
Beth Ann Griffin, Megan S. Schuler, Matt Cefalu +5
Objective. To provide step-by-step guidance and STATA and R code for using propensity score (PS) weighting to estimate moderation effects. Research Design. Tutorial illustrating th…
CoBWeb: a user-friendly web application to estimate causal treatment effects from observational data using multiple algorithms
Andreas Markoulidakis, Peter Holmans, Philip Pallmann +2
Background/aims: While randomized controlled trials are the gold standard for measuring causal effects, robust conclusions about causal relationships can be obtained using data fro…
Estimating effects within nonlinear autoregressive models: a case study on the impact of child access prevention laws on firearm mortality
Matthew Cefalu, Terry Schell, Beth Ann Griffin +2
Autoregressive models are widely used for the analysis of time-series data, but they remain underutilized when estimating effects of interventions. This is in part due to endogenei…
How balance and sample size impact bias in the estimation of causal treatment effects: A simulation study
Andreas Markoulidakis, Peter Holmans, Philip Pallmann +2
Observational studies are often used to understand relationships between exposures and outcomes. They do not, however, allow conclusions about causal relationships to be drawn unle…
Balancing Higher Moments Matters for Causal Estimation: Further Context for the Results of Setodji et al. (2017)
Melody Y. Huang, Brian G. Vegetabile, Lane F. Burgette +2
We expand upon the simulation study of Setodji et al. (2017) which compared three promising balancing methods when assessing the average treatment effect on the treated for binary…