Most Recent Additions*

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A Scalable Supervised Subsemble Prediction Algorithm
Stephanie Sapp and Mark J. van der Laan

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Clustering Survival Outcomes using Dirichlet Process Mixture
Lili Zhao, Jingchunzi Shi, Tempie H. Shearon, and Yi Li

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A Predictive Enrichment Procedure to Identify Potential Responders to a New Therapy for Randomized, Comparative, Controlled Clinical Studies
Junlong Li, Lihui Zhao, Lu Tian, Tianxi Cai, Brian Claggett, Andrea Callegaro, Benjamin Dizier, Bart Spiessens, Fernando Ulloa-Montoya, and L. J. Wei

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Mediation Analysis with Time-Varying Exposures and Mediators
Tyler J. VanderWeele and Eric Tchetgen Tchetgen

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VARIABLE-DOMAIN FUNCTIONAL REGRESSION
Jonathan E. Gellar, Elizabeth Colantuoni, Dale M. Needham, and Ciprian M. Crainiceanu

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Computational model for survey and trend analysis of patients with endometriosis : a decision aid tool for EBM
Salvo Reina, Vito Reina, Franco Ameglio, Mauro Costa, and Alessandro Fasciani

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Adaptive Pair-Matching in the SEARCH Trial and Estimation of the Intervention Effect
Laura Balzer, Maya L. Petersen, and Mark J. van der Laan

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Multi-state Models for Natural History of Disease
Amy Laird, Rebecca A. Hubbard, and Lurdes Y. T. Inoue

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Prediction of fine particulate matter chemical components for the Multi-Ethnic Study of Atherosclerosis cohort: A comparison of two modeling approaches
Sun-Young Kim, Lianne Sheppard, Silas Bergen, Adam A. Szpiro, Paul D. Sampson, Joel Kaufman, and Sverre Vedal

*Updated as of 04/23/14.