Most Recent Additions*

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The Myth Of Making Inferences For An Overall Treatment Efficacy With Data From Multiple Comparative Studies Via Meta-analysis
Takahiro Hasegawa, Brian Claggett, Lu Tian, Scott D. Solomon, Marc A. Pfeffer, and Lee-Jen Wei

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Distance-Based Analysis of Variance for Brain Connectivity
Russell T. Shinohara, Haochang Shou, Marco Carone, Robert Schultz, Birkan Tunc, Drew Parker, and Ragini Verma

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A Cautionary Note on the Effect of Treatment Misclassification on the Average Treatment Effect
Danielle Braun, Corwin Zigler, Malka Gorfine, and Francesca Dominici

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Estimation and Inference for the Mediation Proportion
Daniel Nevo, Xiaomei Liao, and Donna Spiegelman

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Mediation analysis for a survival outcome with time-varying exposures, mediators, and confounders
Sheng-Hsuan Lin, Jessica G. Young, Roger Logan, and Tyler J. VanderWeele

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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

*Updated as of 09/26/16.