42 citations · 141 across the 7 of their papers we have counts for
7 papers
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…
Nonparametric Estimation of Population Average Dose-Response Curves using Entropy Balancing Weights for Continuous Exposures
Brian G. Vegetabile, Beth Ann Griffin, Donna L. Coffman +2
Weighted estimators are commonly used for estimating exposure effects in observational settings to establish causal relations. These estimators have a long history of development w…
Inferring constructs of effective teaching from classroom observations: An application of Bayesian exploratory factor analysis without restrictions
J. R. Lockwood, Terrance D. Savitsky, Daniel F. McCaffrey
Ratings of teachers' instructional practices using standardized classroom observation instruments are increasingly being used for both research and teacher accountability. There ar…
Missing data in value-added modeling of teacher effects
Daniel F. McCaffrey, J. R. Lockwood
The increasing availability of longitudinal student achievement data has heightened interest among researchers, educators and policy makers in using these data to evaluate educatio…
Analysis of rolling group therapy data using conditionally autoregressive priors
Susan M. Paddock, Sarah B. Hunter, Katherine E. Watkins +1
Group therapy is a central treatment modality for behavioral health disorders such as alcohol and other drug use (AOD) and depression. Group therapy is often delivered under a roll…
Comment: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data
Greg Ridgeway, Daniel F. McCaffrey
Comment on ``Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data'' [arXiv:0804.2958]