2012 Atlantic Causal Inference Conference
May 24-25, 2012
Johns Hopkins Bloomberg School of Public Health
Sponsored by the JHSPH Department of Biostatistics and Center for Prevention and Early Intervention (funding from NIMH and NIDA)
Full schedule and information
Symposium 1: Workshop on causal inference for high-dimensional data
Symposium 2: Interference and spillover effects in causal inference
- J. Dai: Modeling time-varying behavioral variables in HIV prevention trials
- P. Aronow: Estimating average causal effects under interference between units. Associated paper.
- G. Hong: A probabilistic causal model for mediation with interference
Symposium 3: New developments in causal inference for longitudinal and spatial data
- K. Imai: On the use of linear fixed effects regression models for causal inference
- C. Zigler: Estimating Causal Effects of Air Quality Regulations Using Principal Stratification for Spatially-Correlated Multivariate Intermediate Outcomes
- P. Yang: Modified G-estimation for repeated outcome measures
Symposium 4: Tom Ten Have Memorial Session
- L. Keele: Enhancing geographic discontinuities through matching
- M. Ratkovic: Achieving optimal covariate balance under general treamtent regimes
- J. Zubizarreta: Using mixed integer programming for matching in observational studies
Symposium 5: Adaptive designs for causal inference
- S. Murphy: Piloting and Sizing Sequential Multiple Assignment Randomized Trials in Dynamic Treatment Regime Development
- M. van der Laan: Targeted Maximum Likelihood Estimation for Adaptive Designs: Understanding an Adaptive Community Randomized Trial