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Collection of Biostatistics Research Archive

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    Content Posted in 2013

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    A Bayesian regression tree approach to identify the effect of nanoparticles properties on toxicity profiles, Cecile Low-Kam, Haiyuan Zhang, Zhaoxia Ji, Tian Xia, Jeffrey I. Zinc, Andre Nel, and Donatello Telesca

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    Adapting Data Adaptive Methods for Small, but High Dimensional Omic Data: Applications to GWAS/EWAS and More, Sara Kherad Pajouh, Alan E. Hubbard, and Martyn T. Smith

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    Adaptive, Group Sequential Designs that Balance the Benefits and Risks of Wider Inclusion Criteria, Michael Rosenblum, Brandon S. Luber, Richard E. Thompson, and Daniel F. Hanley

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    A Frailty Approach for Survival Analysis with Error-prone Covariate, Sehee Kim, Yi Li, and Donna Spiegelman

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    A General Instrumental Variable Framework for Regression Analysis with Outcome Missing Not at Random, Eric J. Tchetgen Tchetgen and Kathleen Wirth

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    A General Regression Framework for a Secondary Outcome in Case-control Studies, Eric J. Tchetgen Tchetgen

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    A Latent Variable Transformation Model Approach for Exploring Dysphagia, Anna Snavely, David P. Harrington, and Yi Li

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    Alternative Identification and Inference for the Effect of Treatment on the Treated with an Instrumental Variable, Eric J. Tchetgen Tchetgen and Stijn Vansteelandt

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    An Application Of Machine Learning Methods To The Derivation Of Exposure-Response Curves For Respiratory Outcomes, Ekaterina Eliseeva, Alan E. Hubbard, and Ira B. Tager

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    An Evaluation of Inferential Procedures for Adaptive Clinical Trial Designs with Pre-specified Rules for Modifying the Sample Size, Greg P. Levin, Sarah C. Emerson, and Scott S. Emerson

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    Asymptotic and Finite Sample Behavior of Net Reclassification Indices, Zheyu Wang

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    Attributing effects to interactions, Tyler J. VanderWeele and Eric J. Tchetgen Tchetgen

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    Augmentation of Propensity Scores for Medical Records-based Research, Mikel Aickin

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    A unification of mediation and interaction, Tyler J. VanderWeele

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    A versatile test for equality of two survival functions based on weighted differences of Kaplan-Meier curves, Hajime Uno, Lu Tian, Brian Claggett, and L. J. Wei

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    Balancing Score Adjusted Targeted Minimum Loss-based Estimation, Samuel D. Lendle, Bruce Fireman, and Mark J. van der Laan

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    Challenges in Estimating the Causal Effect of an Intervention with Pre-Post Data (Part 1): Definition & Identification of the Causal Parameter, Ann M. Weber, Mark J. van der Laan, and Maya L. Petersen

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    Characterizing Expected Benefits of Biomarkers in Treatment Selection, Ying Huang, Eric Laber, and Holly Janes

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    Covariance-Enhanced Discriminant Analysis, Peirong Xu, Ji Zhu, Lixing Zhu, and Yi Li

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    Cross-Validation for Nonlinear Mixed Effects Models, Emily Colby and Eric Bair

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    Efficient Estimation of Risk Ratios From Clustered Binary Data, Matthew Cefalu and Eric Tchetgen Tchetgen

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    Estimating Effects on Rare Outcomes: Knowledge is Power, Laura B. Balzer and Mark J. van der Laan

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    FAST COVARIANCE ESTIMATION FOR HIGH-DIMENSIONAL FUNCTIONAL DATA, Luo Xiao, David Ruppert, Vadim Zipunnikov, and Ciprian Crainiceanu

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    Feature Elimination in Empirical Risk Minimization and Support Vector Machines, Sayan Dasgupta, Yair Goldberg, and Michael R. Kosorok

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    Homotopic Group ICA for Multi-Subject Brain Imaging Data, Juemin Yang, Ani Eloyan, Anita Barber, Mary Beth Nebel, Stewart Mostofsky, Jim Pekar, Ciprian Crainiceanu, and Brian Caffo

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    Hypothesis Testing for an Extended Cox Model with Time-Varying Coefficients, Takumi Saegusa, Chongzhi Di, and Ying Qing Chen

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    Identification and Estimation of Survivor Average Causal Effects, Eric J. Tchetgen Tchetgen

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    In Praise of Simplicity not Mathematistry! Ten Simple Powerful Ideas for the Statistical Scientist, Roderick J. Little

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    Issues Related to Combining Multiple Speciated PM2.5 Data Sources in Spatio-Temporal Exposure Models for Epidemiology: The NPACT Case Study, Sun-Young Kim, Lianne Sheppard, Timothy V. Larson, Joel Kaufman, and Sverre Vedal

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    Joint Estimation of Multiple Graphical Models from High Dimensional Time Series, Huitong Qiu, Fang Han, Han Liu, and Brian Caffo

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    Latent Supervised Learning, Susan Wei and Michael R. Kosorok

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    Latent Supervised Learning for Survival Data, Susan Wei and Michael R. Kosorok

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    Más-o-menos: A Simple Sign Averaging Method for Discrimination in Genomic Data Analysis, Sihai Dave Zhao, Giovanni Parmigiani, Curtis Huttenhower, and Levi Waldron

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    Methods for Dealing with Death and Missing Data, and for Standardizing Different Health Variables in Longitudinal Datasets: The Cardiovascular Health Study, Paula Diehr

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    MISSING AT RANDOM AND IGNORABILITY FOR INFERENCES ABOUT SUBSETS OF PARAMETERS WITH MISSING DATA, Roderick J. Little and Sahar Zanganeh

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    Mixtures of Receiver Operating Characteristic Curves, Mithat Gonen

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    Multi-state Models for Natural History of Disease, Amy Laird, Rebecca A. Hubbard, and Lurdes Y. T. Inoue

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    Net Reclassification Index: a Misleading Measure of Prediction Improvement, Margaret Sullivan Pepe, Holly Janes, Kathleen F. Kerr, and Bruce M. Psaty

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    Net Reclassification Indices for Evaluating Risk Prediction Instruments: A Critical Review, Kathleen F. Kerr, Zheyu Wang, Holly Janes, Robyn McClelland, Bruce M. Psaty, and Margaret S. Pepe

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    Normalization Techniques for Statistical Inference from Magnetic Resonance Imaging, Russell T. Shinohara, Elizabeth M. Sweeney, Jeff Goldsmith, Navid Shiee, Farrah J. Mateen, Peter A. Calabresi, Samson Jarso, Dzung L. Pham, Daniel S. Reich, and Ciprian M. Crainiceanu

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    On the causal interpretation of race in regressions adjusting for confounding and mediating variables, Tyler J. VanderWeele and Whitney Robinson

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    On the Restricted Mean Event Time in Survival Analysis, Lu Tian, Lihui Zhao, and L. J. Wei

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    On the Simulation of Longitudinal Discrete Data with Specified Marginal Means and First-Order Antedependence, Matthew Guerra and Justine Shults

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    OPTIMAL TESTS OF TREATMENT EFFECTS FOR THE OVERALL POPULATION AND TWO SUBPOPULATIONS IN RANDOMIZED TRIALS, USING SPARSE LINEAR PROGRAMMING, Michael Rosenblum, Han Liu, and En-Hsu Yen

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    Parameter Estimation in Cox Proportional Hazard Models with Missing Censoring Indicators, Naomi Brownstein, Eric Bair, Jianwen Cai, and Gary Slade

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    PENALIZED FUNCTION-ON-FUNCTION REGRESSION, Andrada E. Ivanescu, Ana-Maria Staicu, Fabian Scheipl, and Sonja Greven

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    Penalized Smoothed Partial Rank Estimator for the Nonparametric Transformation Survival Model with High-dimensional Covariates, Wei Dai and Yi Li

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    Phylogenetic Linkage Among HIV-infected Village Residents in Botswana: Estimation of Clustering Rates in the Presence of Missing Data, Nicole Bohme Carnegie, Rui Wang, Vladimir Novitsky, and Victor G. DeGruttola

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    PREDICTING HUMAN MOVEMENT TYPE BASED ON MULTIPLE ACCELEROMETERS USING MOVELETS, Bing He, Jiawei Bai, Annemarie Koster, Casserotti Paolo, Nancy Glynn, Tamara B. Harris, and Ciprian Crainiceanu

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    Prediction of fine particulate matter chemical components for the Multi-Ethnic Study of Atherosclerosis cohort: A comparison of two modeling approaches, Sun-Young Kim, Lianne Sheppard, Silas Bergen, Adam A. Szpiro, Paul D. Sampson, Joel Kaufman, and Sverre Vedal

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    Regression Trees for Longitudinal Data, Madan Gopal Kundu and Jaroslaw Harezlak

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    Reinforcement Learning Trees, Ruoqing Zhu, Donglin Zeng, and Michael R. Kosorok

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    Sample Size Considerations in the Design of Cluster Randomized Trials of Combination HIV Prevention, Rui Wang, Ravi Goyal, Quanhong Lei, M. Essex, and Victor DeGruttola

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    Score Test Variable Screening, Sihai Dave Zhao and Yi Li

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    Selection of Latent Variables for Multiple Mixed-Outcome Models, Ling Zhou, Huazhen Lin, Xin-Yuan Song, and Yi Li

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    Semiparametric Latent Variable Transformation Models for Multiple Mixed Outcomes, Huazhen Lin, Ling Zhou, Robert Elashoff, and Yi Li

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    Semiparametric Transformation Models for Semicompeting Survival Data, Huazhen Lin, Ling Zhou, Chunhong Li, and Yi Li

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    Set-based Tests for Genetic Association in Longitudinal Studies, Zihuai He, Min Zhang, Seunggeun Lee, Jennifer A. Smith, Xiuqing Guo, Walter Palmas, Sharon L.R. Kardia, Ana V. Diez Roux, and Bhramar Mukherjee

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    Soft Null Hypotheses: A Case Study of Image Enhancement Detection in Brain Lesions, Haochang Shou, Russell T. Shinohara, Han Liu, Daniel Reich, and Ciprian Crainiceanu

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    Sparse Median Graphs Estimation in a High Dimensional Semiparametric Model, Fang Han, Han Liu, and Brian Caffo

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    Statistical Inference for Data Adaptive Target Parameters, Mark J. van der Laan, Alan E. Hubbard, and Sara Kherad Pajouh

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    Statistical Methods for Evaluating and Comparing Biomarkers for Patient Treatment Selection, Holly Janes, Marshall D. Brown, Margaret Pepe, and Ying Huang

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    Structured Functional Principal Component Analysis, Haochang Shou, Vadim Zipunnikov, Ciprian Crainiceanu, and Sonja Greven

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    Subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits, Stephanie Sapp, Mark J. van der Laan, and John Canny

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    Surrogacy Assessment Using Principal Stratification When Surrogate and Outcome Measures are Multivariate Normal, Anna Conlon, Jeremy M.G. Taylor, and Michael R. Elliott

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    Targeted Data Adaptive Estimation of the Causal Dose Response Curve, Iván Díaz and Mark J. van der Laan

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    Targeted Estimation of Variable Importance Measures with Interval-Censored Outcomes, Stephanie Sapp, Mark J. van der Laan, and Kimberly Page

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    Targeted Learning of an Optimal Dynamic Treatment, and Statistical Inference for its Mean Outcome, Mark J. van der Laan

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    Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working Models, Maya L. Petersen, Joshua Schwab, Susan Gruber, Nello Blaser, Michael Schomaker, and Mark J. van der Laan

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    Testing the Relative Performance of Data Adaptive Prediction Algorithms: A Generalized Test of Conditional Risk Differences, Benjamin A. Goldstein, Eric Polley, Farren Briggs, and Mark J. van der Laan

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    The Net Reclassification Index (NRI): a Misleading Measure of Prediction Improvement with Miscalibrated or Overfit Models, Margaret Pepe, Jin Fang, Ziding Feng, Thomas Gerds, and Jorgen Hilden

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    TRIAL DESIGNS THAT SIMULTANEOUSLY OPTIMIZE THE POPULATION ENROLLED AND THE TREATMENT ALLOCATION PROBABILITIES, Brandon S. Luber, Michael Rosenblum, and Antoine Chambaz

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    Ultrahigh Dimensional Time Course Feature Selection, Peirong Xu, Lixing Zhu, and Yi Li

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    Variable Importance and Prediction Methods for Longitudinal Problems with Missing Variables, Ivan Diaz, Alan E. Hubbard, Anna Decker, and Mitchell Cohen

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    VARYING INDEX COEFFICIENT MODELS, Shujie Ma and Peter Xuekun Song

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    Vertically Shifted Mixture Models for Clustering Longitudinal Data by Shape, Brianna C. Heggeseth and Nicholas P. Jewell

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    Visualizing Longitudinal Data with Dropouts, Mithat Gonen

 
 
 

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