Content Posted in 2016
A Cautionary Note on the Effect of Treatment Misclassification on the Average Treatment Effect, Danielle Braun, Corwin Zigler, Malka Gorfine, and Francesca Dominici
An Efficient Basket Trial Design, Kristen Cunanan, Alexia Iasonos, Ronglai Shen, Colin B. Begg, and Mithat Gonen
A Pairwise Likelihood Augmented Estimator for the Cox Model Under Left-Truncation, Fan Wu, Sehee Kim, Jing Qin, Rajiv Saran, and Yi Li
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
A Weighted Instrumental Variable Estimator to Control for Instrument-Outcome Confounders, Douglas Lehmann, Yun Li, Rajiv Saran, and Yi Li
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
Conditional Screening for Ultra-high Dimensional Covariates with Survival Outcomes, Hyokyoung Grace Hong, Jian Kang, and Yi Li
Confidence Intervals for Heritability via Haseman-Elston Regression, Tamar Sofer
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
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
Distance-Based Analysis of Variance for Brain Connectivity, Russell T. Shinohara, Haochang Shou, Marco Carone, Robert Schultz, Birkan Tunc, Drew Parker, and Ragini Verma
Doubly-robust Nonparametric Inference on the Average Treatment Effect, David Benkeser, Marco Carone, Mark J. van der Laan, and Peter Gilbert
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
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
Estimation and Inference for the Mediation Proportion, Daniel Nevo, Xiaomei Liao, and Donna Spiegelman
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
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
Evaluating the Impact of Treating the Optimal Subgroup, Alexander R. Luedtke and Mark J. van der Laan
Evaluation of multiple interventions using a stepped wedge design, Vivian H. Lyons, Lingyu Li, James Hughes, and Ali Rowhani-Rahbar
hpcNMF: A high-performance toolbox for non-negative matrix factorization, Karthik Devarajan and Guoli Wang
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
Interpretable High-Dimensional Inference Via Score Maximization with an Application in Neuroimaging, Simon N. Vandekar, Philip T. Reiss, and Russell T. Shinohara
Leveraging Contact Network Structure in the Design of Cluster Randomized Trials, Guy Harling, Rui Wang, Jukka-Pekka Onnela, and Victor DeGruttola
Marginal Structural Models with Counterfactual Effect Modifiers, Wenjing Zheng, Zhehui Luo, and Mark J. van der Laan
Matching the Efficiency Gains of the Logistic Regression Estimator While Avoiding its Interpretability Problems, in Randomized Trials, Michael Rosenblum and Jon Arni Steingrimsson
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
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
Models for HSV shedding must account for two levels of overdispersion, Amalia Magaret
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
One-Step Targeted Minimum Loss-based Estimation Based on Universal Least Favorable One-Dimensional Submodels, Mark J. van der Laan and Susan Gruber
Online Cross-Validation-Based Ensemble Learning, David Benkeser, Samuel D. Lendle, Cheng Ju, and Mark J. van der Laan
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
Practical Targeted Learning from Large Data Sets by Survey Sampling, Patrice Bertail, Antoine Chambaz, and Emilien Joly
Prevalence Estimation at the Cluster Level for Correlated Binary Data Using Random Partial-Cluster Sampling, Rujin Wang and John S. Preisser
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
Recommendation to Use Exact P-values in Biomarker Discovery Research, Margaret Sullivan Pepe, Matthew F. Buas, Christopher I. Li, and Garnet L. Anderson
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
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
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
Semi-Parametrics Dose Finding Methods, Matthieu Clertant and John O'Quigley
Simulating Longer Vectors of Correlated Binary Random Variables via Multinomial Sampling, Justine Shults
STATISTICAL HANDLING OF MEDICAL DATA - AN ETHICAL PERSPECTIVE, Ajay Kumar Bansal Dr
STOCHASTIC OPTIMIZATION OF ADAPTIVE ENRICHMENT DESIGNS FOR TWO SUBPOPULATIONS, Aaron Fisher and Michael Rosenblum
Strengthening Instrumental Variables through Weighting, Douglas Lehmann, Yun Li, Rajiv Saran, and Yi Li
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
The use of permutation tests for the analysis of parallel and stepped-wedge cluster randomized trials, Rui Wang and Victor DeGruttola
TMLE for Marginal Structural Models Based on an Instrument, Boriska Toth and Mark J. van der Laan
Using Sensitivity Analyses for Unobserved Confounding to Address Covariate Measurement Error in Propensity Score Methods, Kara E. Rudolph and Elizabeth A. Stuart
Using Validation Data to Adjust the Inverse Probability Weighting Estimator for Misclassified Treatment, Danielle Braun, Corwin Zigler, Francesca Dominici, and Malka Gorfine
Variable Selection for Case-Cohort Studies with Failure Time Outcome, Andy Ni, Jianwen Cai, and Donglin Zeng
Variable Selection for Estimating the Optimal Treatment Regimes in the Presence of a Large Number of Covariate, Baqun Zhang and Min Zhang