Most Recent Additions*

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Practical Targeted Learning from Large Data Sets by Survey Sampling
Patrice Bertail, Antoine Chambaz, and Emilien Joly

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Estimation of long-term area-average PM2.5 concentrations for area-level health analyses
Sun-Young Kim, Casey Olives, Neal Fann, Joel Kaufman, Sverre Vedal, and Lianne Sheppard

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Scalable Collaborative Targeted Learning for Large Scale and High-dimensional Data
Cheng Ju, Susan Gruber, Samuel D. Lendle, Jessica M. Franklin, Richard Wyss, Sebastian Schneeweiss, and Mark J. van der Laan

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Propensity score prediction for electronic healthcare dataset using Super Learner and High-dimensional Propensity Score Method
Cheng Ju, Mary Combs, Samuel D. Lendle, Jessica M. Franklin, Richard Wyss, Sebastian Schneeweiss, and Mark J. van der Laan

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A Powerful Statistical Framework for Generalization Testing in GWAS, with Application to the HCHS/SOL
Tamar Sofer, Ruth Heller, Marina Bogomolov, Christy L. Avery, Mariaelisa Graff, Kari E. North, Alex Reiner, Timothy A. Thornton, Kenneth Rice, Yoav Benjamini, Cathy C. Laurie, and Kathleen F. Kerr

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An Efficient Basket Trial Design
Kristen Cunanan, Alexia Iasonos, Ronglai Shen, Colin B. Begg, and Mithat Gonen

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Using Validation Data to Adjust the Inverse Probability Weighting Estimator for Misclassified Treatment
Danielle Braun, Corwin Zigler, Francesca Dominici, and Malka Gorfine

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Recommendation to Use Exact P-values in Biomarker Discovery Research
Margaret Sullivan Pepe, Matthew F. Buas, Christopher I. Li, and Garnet L. Anderson

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Marginal Structural Models with Counterfactual Effect Modifiers
Wenjing Zheng, Zhehui Luo, and Mark J. van der Laan

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Strengthening Instrumental Variables through Weighting
Douglas Lehmann, Yun Li, Rajiv Saran, and Yi Li

*Updated as of 07/26/16.