Most Recent Additions*

 

Robust alternatives to ANCOVA for estimating the treatment effect via a randomized comparative study
Fei Jiang, Lu Tian, Haoda Fu, Takahiro Hasegawa, Marc Alan Pfeffer, and L. J. Wei

 

Classification with Ultrahigh-Dimensional Features
Yanming Li, Hyokyoung Hong, Jian Kang, Kevin He, Ji Zhu, and Yi Li

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Censoring Unbiased Regression Trees and Ensembles
Jon Arni Steingrimsson, Liqun Diao, and Robert L. Strawderman

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Doubly-robust Nonparametric Inference on the Average Treatment Effect
David Benkeser, Marco Carone, Mark J. van der Laan, and Peter Gilbert

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Online Cross-Validation-Based Ensemble Learning
David Benkeser, Samuel D. Lendle, Cheng Ju, and Mark J. van der Laan

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Semi-Parametrics Dose Finding Methods
Matthieu Clertant and John O'Quigley

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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

*Updated as of 12/08/16.