Content Posted in 2014
A BAYESIAN APPROACH TO JOINT MODELING OF MENSTRUAL CYCLE LENGTH AND FECUNDITY, Kirsten J. Lum, Rajeshwari Sundaram, Germaine M. Buck-Louis, and Thomas A. Louis
Adaptive Pair-Matching in the SEARCH Trial and Estimation of the Intervention Effect, Laura Balzer, Maya L. Petersen, and Mark J. van der Laan
ADAPTIVE RANDOMIZED TRIAL DESIGNS THAT CANNOT BE DOMINATED BY ANY STANDARD DESIGN AT THE SAME TOTAL SAMPLE SIZE, Michael Rosenblum
Adjustment for Mismeasured Exposure using Validation Data and Propensity Scores, Danielle Braun, Malka Gorfine, Corwin Zigler, Francesca Dominici, and Giovanni Parmigiani
A General Approach to Detect Gene (G)-environment (E) Additive Interaction Leveraging G-E Independence in Case-control Studies, Eric Tchetgen Tchetgen, Tamar Sofer, and Benedict H.W. Wong
A global partial likelihood estimator of the time-varying effects for time-dependent treatment, Huazhen Lin, Zhe Fei, and Yi Li
A Joint Model for Multistate Disease Processes and Random Informative Observation Times, with Applications to Electronic Medical Records Data, Jane M. Lange, Rebecca A. Hubbard, Lurdes Y. T. Inoue, and Vladimir Minin
A Marginalized Zero-Inflated Negative Binomial Regression Model with Overall Exposure Effects, John S. Preisser, Kalyan Das, D. Leann Long, and John W. Stamm
A Note on the Control Function Approach with an Instrumental Variable and a Binary Outcome, Eric Tchetgen Tchetgen
A Novel Targeted Learning Method for Quantitative Trait Loci Mapping, Hui Wang, Zhongyang Zhang, Sherri Rose, and Mark J. van der Laan
APPLYING MULTIPLE IMPUTATION FOR EXTERNAL CALIBRATION TO PROPENSTY SCORE ANALYSIS, Yenny Webb-Vargas, Kara E. Rudolph, D. Lenis, Peter Murakami, and Elizabeth A. Stuart
A Predictive Enrichment Procedure to Identify Potential Responders to a New Therapy for Randomized, Comparative, Controlled Clinical Studies, Junlong Li, Lihui Zhao, Lu Tian, Tianxi Cai, Brian Claggett, Andrea Callegaro, Benjamin Dizier, Bart Spiessens, Fernando Ulloa-Montoya, and L. J. Wei
A Scalable Supervised Subsemble Prediction Algorithm, Stephanie Sapp and Mark J. van der Laan
A Simple Regression-based Approach to Account for Survival Bias in Birth Outcomes Research, Eric J. Tchetgen Tchetgen, Kelesitse Phiri, and Roger Shapiro
A unification of mediation and interaction: a four-way decomposition, Tyler J. VanderWeele
Bayesian Model Averaging:- An Application in Cancer Clinical Trial, Atanu Bhattacharjee
Bounds to Evaluate the Pure/natural Direct Effect without Cross-world Counterfactual Independence, Eric Tchetgen Tchetgen and Kelesitse Phiri
Change Point Testing in Logistic Regression Models with Interaction Term, Youyi Fong, Chongzhi Di, and Sallie Permar
Clustering Survival Outcomes using Dirichlet Process Mixture, Lili Zhao, Jingchunzi Shi, Tempie H. Shearon, and Yi Li
Computational model for survey and trend analysis of patients with endometriosis : a decision aid tool for EBM, Salvo Reina, Vito Reina, Franco Ameglio, Mauro Costa, and Alessandro Fasciani
Confidence intervals for the treatment effect on the treated, José A. Ferreira
Constrained Bayesian Estimation of Inverse Probability Weights for Nonmonotone Missing Data, BaoLuo Sun and Eric J. Tchetgen Tchetgen
Control Function Assisted IPW Estimation with a Secondary Outcome in Case-Control Studies, Tamar Sofer, Marilyn C. Cornelis, Peter Kraft, and Eric J. Tchetgen Tchetgen
COX REGRESSION MODELS WITH FUNCTIONAL COVARIATES FOR SURVIVAL DATA, Jonathan E. Gellar, Elizabeth Colantuoni, Dale M. Needham, and Ciprian M. Crainiceanu
CROSS-DESIGN SYNTHESIS FOR EXTENDING THE APPLICABILITY OF TRIAL EVIDENCE WHEN TREATMENT EFFECT IS HETEROGENEOUS-I. METHODOLOGY, Ravi Varadhan and Carlos Weiss
CROSS-DESIGN SYNTHESIS FOR EXTENDING THE APPLICABILITY OF TRIAL EVIDENCE WHEN TREATMENT EFFECT IS HETEROGENEOUS. PART II. APPLICATION AND EXTERNAL VALIDATION, Carlos Weiss and Ravi Varadhan
Deductive Derivation and Computerization of Compatible Semiparametric Efficient Estimation, Constantine E. Frangakis, Tianchen Qian, Zhenke Wu, and Ivan Diaz
Dose expansion cohorts in Phase I trials, Alexia Iasonos and John O'Quigley
Doubly Robust Learning for Estimating Individualized Treatment with Censored Data, Ying-Qi Zhao, Donglin Zeng, Eric B. Laber, Rui Song, Ming Yuan, and Michael R. Kosorok
Efficiently Identifying Failures using Quantitative Tests, Matrix-Pooling and the EM-Algorithm, Brett Hanscom, Susanne May, and Jim Hughes
ENHANCED PRECISION IN THE ANALYSIS OF RANDOMIZED TRIALS WITH ORDINAL OUTCOMES, Iván Díaz, Elizabeth Colantuoni, and Michael Rosenblum
Entering the Era of Data Science: Targeted Learning and the Integration of Statistics and Computational Data Analysis, Mark J. van der Laan and Richard J.C.M. Starmans
Estimating population treatment effects from a survey sub-sample, Kara E. Rudolph, Ivan Diaz, Michael Rosenblum, and Elizabeth A. Stuart
Estimation of the Overall Treatment Effect in the Presence of Interference in Cluster-randomized Trials of Infectious Disease Prevention, Nicole Bohme Carnegie, Rui Wang, and Victor De Gruttola
Extending Mendelian Risk Prediction Models to Handle Misreported Family History, Danielle Braun, Malka Gorfine, Hormuzd A. Katki, Argyrios Ziogas, Hoda Anton-Culver, and Giovanni Parmigiani
Generalized Quantile Treatment Effect, Sergio Venturini, Francesca Dominici, and Giovanni Parmigiani
Higher-order Targeted Minimum Loss-based Estimation, Marco Carone, Iván Díaz, and Mark J. van der Laan
Instrumental Variable Estimation in a Survival Context, Eric J. Tchetgen Tchetgen, Stefan Walter, Stijn Vansteelandt, Torben Martinussen, and Maria Glymour
INTERADAPT -- AN INTERACTIVE TOOL FOR DESIGNING AND EVALUATING RANDOMIZED TRIALS WITH ADAPTIVE ENROLLMENT CRITERIA, Aaron Joel Fisher, Harris Jaffee, and Michael Rosenblum
Latent Supervised Learning for Estimating Treatment Effect Heterogeneity, Susan Wei and Michael R. Kosorok
LEVERAGING PROGNOSTIC BASELINE VARIABLES TO GAIN PRECISION IN RANDOMIZED TRIALS, Elizabeth Colantuoni and Michael Rosenblum
Likelihood Based Estimation of Logistic Structural Nested Mean Models with an Instrumental Variable, Roland A. Matsouaka and Eric J. Tchetgen Tchetgen
Mediation Analysis with Time-Varying Exposures and Mediators, Tyler J. VanderWeele and Eric Tchetgen Tchetgen
Methods for Exploring Treatment Effect Heterogeneity in Subgroup Analysis: An Application to Global Clinical Trials, I. Manjula Schou and Ian C. Marschner
Nonparametric Adjustment for Measurement Error in Time to Event Data, Danielle Braun, Malka Gorfine, Hormuzd A. Katki, Argyrios Ziogas, and Giovanni Parmigiani
Nonparametric Identifiability of Finite Mixture Models with Covariates for Estimating Error Rate without a Gold Standard, Zheyu Wang and Xiao-Hua Zhou
Online Targeted Learning, Mark J. van der Laan and Samuel D. Lendle
On the Restricted Mean Survival Time Curve Survival Analysis, Lihui Zhao, Brian Claggett, Lu Tian, Hajime Uno, Marc A. Pfeffer, Scott D. Solomon, Lorenzo Trippa, and L. J. Wei
Optimal Bayesian Adaptive Trials when Treatment Efficacy Depends on Biomarkers, Yifan Zhang, Lorenzo Trippa, and Giovanni Parmigiani
OPTIMAL, TWO STAGE, ADAPTIVE ENRICHMENT DESIGNS FOR RANDOMIZED TRIALS USING SPARSE LINEAR PROGRAMMING, Michael Rosenblum, Xingyuan Fang, and Han Liu
Partially-Latent Class Models (pLCM) for Case-Control Studies of Childhood Pneumonia Etiology, Zhenke Wu, Maria Deloria-Knoll, Laura L. Hammitt, and Scott L. Zeger
Personalized Evaluation of Biomarker Value: A Cost-benefit Perspective, Ying Huang and Eric Laber
PGS: a tool for association study of high-dimensional microRNA expression data with repeated measures, Yinan Zheng, Zhe Fei, Wei Zhang, Justin Starren, Lei Liu, Andrea Baccarelli, Yi Li, and Lifang Hou
Predicting the Future Subject's Outcome via an Optimal Stratification Procedure with Baseline Information, Florence H. Yong, Lu Tian, Sheng Yu, Tianxi Cai, and L. J. Wei
Pre-maceration, Saignée and Temperature affect Daily Evolution of Pigment Extraction During Vinification, Ottorino L. Pantani, Federico M. Stefanini, Irene Lozzi, Luca Calamai, Alessandra Biondi Bartolini, and Stefano Di Blasi
Quantifying an Adherence Path-Specific Effect of Antiretroviral Therapy in the Nigeria PEPFAR Program, Caleb Miles, Ilya Shpitser, Phyllis Kanki, Seema Meloni, and Eric J. Tchetgen Tchetgen
sanon : An R Package for Stratified Analysis with Nonparametric Covariable Adjustment, Atsushi Kawaguchi and Gary G. Koch
Sieve Plateau Variance Estimators: A New Approach to Confidence Interval Estimation for Dependent Data, Molly M. Davies and Mark J. van der Laan
Some models and methods for the analysis of observational data, José A. Ferreira
Statistical Inference for the Mean Outcome Under a Possibly Non-Unique Optimal Treatment Strategy, Alexander R. Luedtke and Mark J. van der Laan
Super-Learning of an Optimal Dynamic Treatment Rule, Alexander R. Luedtke and Mark J. van der Laan
Targeted Covariate-Adjusted Response-Adaptive LASSO-Based Randomized Controlled Trials, Antoine Chambaz, Wenjing Zheng, and Mark J. van der Laan
Targeted Learning of an Optimal Dynamic Treatment, and Statistical Inference for its Mean Outcome, Mark J. van der Laan and Alexander R. Luedtke
Targeted Learning of the Mean Outcome Under an Optimal Dynamic Treatment Rule, Mark J. van der Laan and Alexander R. Luedtke
TARGETED MAXIMUM LIKELIHOOD ESTIMATION USING EXPONENTIAL FAMILIES, Iván Díaz and Michael Rosenblum
Testing Gene-Environment Interactions in the Presence of Measurement Error, Chongzhi Di, Li Hsu, Charles Kooperberg, Alex Reiner, and Ross Prentice
VARIABLE-DOMAIN FUNCTIONAL REGRESSION FOR MODELING ICU DATA, Jonathan E. Gellar, Elizabeth Colantuoni, Dale M. Needham, and Ciprian M. Crainiceanu
Variable selection for zero-inflated and overdispersed data with application to health care demand in Germany, Zhu Wang, Shuangge Ma, and Ching-Yun Wang