307 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harvard UniversityUS5 papers
- Stanford UniversityUS3 papers
- Bordeaux Population HealthFR2 papers
- California Institute of TechnologyUS2 papers
- Cancer Research And BiostatisticsUS2 papers
- Carnegie Mellon UniversityUS2 papers
- Google (United States)US2 papers
- Institut de Recherche VaccinaleFR2 papers
- Johns Hopkins UniversityUS2 papers
- Princeton UniversityUS2 papers
- Romanian AcademyRO2 papers
- The University of Texas at AustinUS2 papers
11 papers · 1 filter
The Longitudinal Health, Income, and Employment Model (LHIEM): a discrete-time microsimulation model for policy analysis
Adrienne M. Propp, Raffaele Vardavas, Carter C. Price +1
Dynamic microsimulation has long been recognized as a powerful tool for policy analysis, but in fact most major health policy simulations lack path dependency, a critical feature f…
Student Log-Data from a Randomized Evaluation of Educational Technology: A Causal Case Study
Adam C Sales, John F Pane
Randomized evaluations of educational technology produce log data as a bi-product: highly granular data student and teacher usage. These datasets could shed light on causal mechani…
The Role of Mastery Learning in Intelligent Tutoring Systems: Principal Stratification on a Latent Variable
Adam C. Sales, John F. Pane
Students in Algebra I classrooms typically learn at different rates and struggle at different points in the curriculum---a common challenge for math teachers. Cognitive Tutor Algeb…
Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California
Maria DeYoreo, Athanasios Kottas
We develop a Bayesian nonparametric framework for modeling ordinal regression relationships which evolve in discrete time. The motivating application involves a key problem in fish…
Editorial
Susan M. Paddock
Clauset and Woodard (2013) ask, "What is the likelihood of another September 11th-sized or larger terrorist event, worldwide, over the next decade?" This question has implications…
Bayesian nonparametric hierarchical modeling for multiple membership data in grouped attendance interventions
Terrance D. Savitsky, Susan M. Paddock
We develop a dependent Dirichlet process (DDP) model for repeated measures multiple membership (MM) data. This data structure arises in studies under which an intervention is deliv…
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…
Detection of radioactive material entering national ports: A Bayesian approach to radiation portal data
Siddhartha R. Dalal, Bing Han
Given the potential for illicit nuclear material being used for terrorism, most ports now inspect a large number of goods entering national borders for radioactive cargo. The U.S.…
An application of principal stratification to control for institutionalization at follow-up in studies of substance abuse treatment programs
Beth Ann Griffin, Daniel F. McCaffrey, Andrew R. Morral
Participants in longitudinal studies on the effects of drug treatment and criminal justice system interventions are at high risk for institutionalization (e.g., spending time in an…
Controlling for individual heterogeneity in longitudinal models, with applications to student achievement
J. R. Lockwood, Daniel F. McCaffrey
Longitudinal data tracking repeated measurements on individuals are highly valued for research because they offer controls for unmeasured individual heterogeneity that might otherw…