Session: Challenges in Longitudinal Prevention Science Datasets Addressed with Innovative Applications of Propensity Score Methods (Society for Prevention Research 26th Annual Meeting)

Schedule:

Thursday, May 31, 2018: 10:15 AM-11:45 AM

Lexington (Hyatt Regency Washington, Washington, DC)

Theme: Innovative Methods and Statistics

Moderator:

Rashelle Musci

* noted as presenting author

290

Selecting Covariates for Propensity Scores: A Demonstration of Data Mining with an Adolescent Recovery Example
Emily Hennessy, PhD, University of Connecticut; Emily Tanner-Smith, PhD, University of Oregon; Andrew J. Finch, PhD, Vanderbilt University

291

Efficiency of Propensity Score Methods in Longitudinal and Multilevel Data Via Monte Carlo Simulation
Ji Hoon Ryoo, PhD, University of Virginia; Elise Pas, PhD, Johns Hopkins University Bloomberg School of Public Health; Joseph Kush, PhD, University of Virginia; Rashelle Musci, Ph.D., The Johns Hopkins University; Catherine Bradshaw, PhD, University of Virginia

292

Investigation of Propensity Score Matching Paradox in Longitudinal Data
Ji Hoon Ryoo, PhD, University of Virginia; Joseph Kush, PhD, University of Virginia; Elise Pas, PhD, Johns Hopkins University Bloomberg School of Public Health; Rashelle Musci, Ph.D., The Johns Hopkins University; Catherine Bradshaw, PhD, University of Virginia

See more of: Individual Paper Presentations

Session: Challenges in Longitudinal Prevention Science Datasets Addressed with Innovative Applications of Propensity Score Methods (Society for Prevention Research 26th Annual Meeting)

3-018 Challenges in Longitudinal Prevention Science Datasets Addressed with Innovative Applications of Propensity Score Methods