13 citations · 16 across the 4 of their papers we have counts for
4 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…
Methodological considerations for estimating policy effects in the context of co-occurring policies
Beth Ann Griffin, Megan S. Schuler, Joseph Pane +5
Understanding how best to estimate state-level policy effects is important, and several unanswered questions remain, particularly about the ability of statistical models to disenta…
Moving beyond the classic difference-in-differences model: A simulation study comparing statistical methods for estimating effectiveness of state-level policies
Beth Ann Griffin, Megan S. Schuler, Elizabeth A. Stuart +7
State-level policy evaluations commonly employ a difference-in-differences (DID) study design; yet within this framework, statistical model specification varies notably across stud…