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Collection of Biostatistics Research Archive

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    Content Posted in 2016

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

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    A Pairwise Likelihood Augmented Estimator for the Cox Model Under Left-Truncation, Fan Wu, Sehee Kim, Jing Qin, Rajiv Saran, and Yi Li

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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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    A Weighted Instrumental Variable Estimator to Control for Instrument-Outcome Confounders, Douglas Lehmann, Yun Li, Rajiv Saran, and Yi Li

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

     

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

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    Conditional Screening for Ultra-high Dimensional Covariates with Survival Outcomes, Hyokyoung Grace Hong, Jian Kang, and Yi Li

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    Confidence Intervals for Heritability via Haseman-Elston Regression, Tamar Sofer

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    CRTgeeDR: An R Package for Doubly Robust Generalized Estimating Equations Estimations in Cluster Randomized Trials with Missing Data, Melanie Prague, Rui Wang, and Victor De Gruttola

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    Data-adaptive Inference of the Optimal Treatment Rule and its Mean Reward. The Masked Bandit, Antoine Chambaz, Wenjing Zheng, and Mark J. van der Laan

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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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    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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    Efficiency of Two Sample Tests via the t-Mean Survival Time for Analyzing Event Time Observations, Lu Tian, Haoda Fu, Stephen J. Ruberg, Hajime Uno, and LJ Wei

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    Estimation and Hypothesis Testing for Four Types of Change Point Regression Models with Non-Thresholded Covariates, Youyi Fong, Ying Huang, Peter Gilbert, and Sallie Permar

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

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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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    Evaluating the Impact of a HIV Low-Risk Express Care Task-Shifting Program: A Case Study of the Targeted Learning Roadmap, Linh Tran, Constantin T. Yiannoutsos, Beverly S. Musick, Kara K. Wools-Kaloustian, Abraham Siika, Sylvester Kimaiyo, Mark J. van der Laan, and Maya L. Petersen

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    Evaluating the Impact of Treating the Optimal Subgroup, Alexander R. Luedtke and Mark J. van der Laan

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    Evaluation of multiple interventions using a stepped wedge design, Vivian H. Lyons, Lingyu Li, James Hughes, and Ali Rowhani-Rahbar

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    hpcNMF: A high-performance toolbox for non-negative matrix factorization, Karthik Devarajan and Guoli Wang

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    IMPROVING PRECISION BY ADJUSTING FOR BASELINE VARIABLES IN RANDOMIZED TRIALS WITH BINARY OUTCOMES, WITHOUT REGRESSION MODEL ASSUMPTIONS, Jon Arni Steingrimsson, Daniel F. Hanley, and Michael Rosenblum

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    Interpretable High-Dimensional Inference Via Score Maximization with an Application in Neuroimaging, Simon N. Vandekar, Philip T. Reiss, and Russell T. Shinohara

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    Leveraging Contact Network Structure in the Design of Cluster Randomized Trials, Guy Harling, Rui Wang, Jukka-Pekka Onnela, and Victor DeGruttola

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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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    Matching the Efficiency Gains of the Logistic Regression Estimator While Avoiding its Interpretability Problems, in Randomized Trials, Michael Rosenblum and Jon Arni Steingrimsson

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    Maximum Likelihood Based Analysis of Equally Spaced Longitudinal Count Data with Specified Marginal Means, First-order Antedependence, and Linear Conditional Expectations, Victoria Gamerman, Matthew Guerra, and Justine Shults

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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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    Models for HSV shedding must account for two levels of overdispersion, Amalia Magaret

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    Moving beyond the conventional stratified analysis to estimate an overall treatment efficacy with the data from a comparative randomized clinical study, Lu Tian, Fei Jiang, Takahiro Hasegawa, Hajime Uno, Marc Alan Pfeffer, and L.J. Wei

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    One-Step Targeted Minimum Loss-based Estimation Based on Universal Least Favorable One-Dimensional Submodels, Mark J. van der Laan and Susan Gruber

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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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    Performance-constrained Binary Classification Using Ensemble Learning: an Application to Cost-efficient Targeted PrEP Strategies, Wenjing Zheng, Laura Balzer, Maya L. Petersen, and Mark J. van der Laan

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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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    Prevalence Estimation at the Cluster Level for Correlated Binary Data Using Random Partial-Cluster Sampling, Rujin Wang and John S. Preisser

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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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    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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    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

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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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    Semi-Parametric Estimation and Inference for the Mean Outcome of the Single Time-Point Intervention in a Causally Connected Population, Oleg Sofrygin 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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    Simulating Longer Vectors of Correlated Binary Random Variables via Multinomial Sampling, Justine Shults

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    STATISTICAL HANDLING OF MEDICAL DATA - AN ETHICAL PERSPECTIVE, Ajay Kumar Bansal Dr

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    STOCHASTIC OPTIMIZATION OF ADAPTIVE ENRICHMENT DESIGNS FOR TWO SUBPOPULATIONS, Aaron Fisher and Michael Rosenblum

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

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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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    The use of permutation tests for the analysis of parallel and stepped-wedge cluster randomized trials, Rui Wang and Victor DeGruttola

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    TMLE for Marginal Structural Models Based on an Instrument, Boriska Toth and Mark J. van der Laan

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    Using Sensitivity Analyses for Unobserved Confounding to Address Covariate Measurement Error in Propensity Score Methods, Kara E. Rudolph and Elizabeth A. Stuart

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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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    Variable Selection for Case-Cohort Studies with Failure Time Outcome, Andy Ni, Jianwen Cai, and Donglin Zeng

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    Variable Selection for Estimating the Optimal Treatment Regimes in the Presence of a Large Number of Covariate, Baqun Zhang and Min Zhang

 
 
 

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