Content Posted in 2013
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
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
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
A Frailty Approach for Survival Analysis with Error-prone Covariate, Sehee Kim, Yi Li, and Donna Spiegelman
A General Instrumental Variable Framework for Regression Analysis with Outcome Missing Not at Random, Eric J. Tchetgen Tchetgen and Kathleen Wirth
A General Regression Framework for a Secondary Outcome in Case-control Studies, Eric J. Tchetgen Tchetgen
A Latent Variable Transformation Model Approach for Exploring Dysphagia, Anna Snavely, David P. Harrington, and Yi Li
Alternative Identification and Inference for the Effect of Treatment on the Treated with an Instrumental Variable, Eric J. Tchetgen Tchetgen and Stijn Vansteelandt
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
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
Asymptotic and Finite Sample Behavior of Net Reclassification Indices, Zheyu Wang
Attributing effects to interactions, Tyler J. VanderWeele and Eric J. Tchetgen Tchetgen
Augmentation of Propensity Scores for Medical Records-based Research, Mikel Aickin
A unification of mediation and interaction, Tyler J. VanderWeele
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
Balancing Score Adjusted Targeted Minimum Loss-based Estimation, Samuel D. Lendle, Bruce Fireman, and Mark J. van der Laan
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
Characterizing Expected Benefits of Biomarkers in Treatment Selection, Ying Huang, Eric Laber, and Holly Janes
Covariance-Enhanced Discriminant Analysis, Peirong Xu, Ji Zhu, Lixing Zhu, and Yi Li
Cross-Validation for Nonlinear Mixed Effects Models, Emily Colby and Eric Bair
Efficient Estimation of Risk Ratios From Clustered Binary Data, Matthew Cefalu and Eric Tchetgen Tchetgen
Estimating Effects on Rare Outcomes: Knowledge is Power, Laura B. Balzer and Mark J. van der Laan
FAST COVARIANCE ESTIMATION FOR HIGH-DIMENSIONAL FUNCTIONAL DATA, Luo Xiao, David Ruppert, Vadim Zipunnikov, and Ciprian Crainiceanu
Feature Elimination in Empirical Risk Minimization and Support Vector Machines, Sayan Dasgupta, Yair Goldberg, and Michael R. Kosorok
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
Hypothesis Testing for an Extended Cox Model with Time-Varying Coefficients, Takumi Saegusa, Chongzhi Di, and Ying Qing Chen
Identification and Estimation of Survivor Average Causal Effects, Eric J. Tchetgen Tchetgen
In Praise of Simplicity not Mathematistry! Ten Simple Powerful Ideas for the Statistical Scientist, Roderick J. Little
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
Joint Estimation of Multiple Graphical Models from High Dimensional Time Series, Huitong Qiu, Fang Han, Han Liu, and Brian Caffo
Latent Supervised Learning, Susan Wei and Michael R. Kosorok
Latent Supervised Learning for Survival Data, Susan Wei and Michael R. Kosorok
Más-o-menos: A Simple Sign Averaging Method for Discrimination in Genomic Data Analysis, Sihai Dave Zhao, Giovanni Parmigiani, Curtis Huttenhower, and Levi Waldron
MISSING AT RANDOM AND IGNORABILITY FOR INFERENCES ABOUT SUBSETS OF PARAMETERS WITH MISSING DATA, Roderick J. Little and Sahar Zanganeh
Mixtures of Receiver Operating Characteristic Curves, Mithat Gonen
Multi-state Models for Natural History of Disease, Amy Laird, Rebecca A. Hubbard, and Lurdes Y. T. Inoue
Net Reclassification Index: a Misleading Measure of Prediction Improvement, Margaret Sullivan Pepe, Holly Janes, Kathleen F. Kerr, and Bruce M. Psaty
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
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
On the causal interpretation of race in regressions adjusting for confounding and mediating variables, Tyler J. VanderWeele and Whitney Robinson
On the Restricted Mean Event Time in Survival Analysis, Lu Tian, Lihui Zhao, and L. J. Wei
On the Simulation of Longitudinal Discrete Data with Specified Marginal Means and First-Order Antedependence, Matthew Guerra and Justine Shults
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
Parameter Estimation in Cox Proportional Hazard Models with Missing Censoring Indicators, Naomi Brownstein, Eric Bair, Jianwen Cai, and Gary Slade
PENALIZED FUNCTION-ON-FUNCTION REGRESSION, Andrada E. Ivanescu, Ana-Maria Staicu, Fabian Scheipl, and Sonja Greven
Penalized Smoothed Partial Rank Estimator for the Nonparametric Transformation Survival Model with High-dimensional Covariates, Wei Dai and Yi Li
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
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
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
Regression Trees for Longitudinal Data, Madan Gopal Kundu and Jaroslaw Harezlak
Reinforcement Learning Trees, Ruoqing Zhu, Donglin Zeng, and Michael R. Kosorok
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
Score Test Variable Screening, Sihai Dave Zhao and Yi Li
Selection of Latent Variables for Multiple Mixed-Outcome Models, Ling Zhou, Huazhen Lin, Xin-Yuan Song, and Yi Li
Semiparametric Latent Variable Transformation Models for Multiple Mixed Outcomes, Huazhen Lin, Ling Zhou, Robert Elashoff, and Yi Li
Semiparametric Transformation Models for Semicompeting Survival Data, Huazhen Lin, Ling Zhou, Chunhong Li, and Yi Li
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
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
Sparse Median Graphs Estimation in a High Dimensional Semiparametric Model, Fang Han, Han Liu, and Brian Caffo
Statistical Inference for Data Adaptive Target Parameters, Mark J. van der Laan, Alan E. Hubbard, and Sara Kherad Pajouh
Statistical Methods for Evaluating and Comparing Biomarkers for Patient Treatment Selection, Holly Janes, Marshall D. Brown, Margaret Pepe, and Ying Huang
Structured Functional Principal Component Analysis, Haochang Shou, Vadim Zipunnikov, Ciprian Crainiceanu, and Sonja Greven
Subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits, Stephanie Sapp, Mark J. van der Laan, and John Canny
Surrogacy Assessment Using Principal Stratification When Surrogate and Outcome Measures are Multivariate Normal, Anna Conlon, Jeremy M.G. Taylor, and Michael R. Elliott
Targeted Data Adaptive Estimation of the Causal Dose Response Curve, Iván Díaz and Mark J. van der Laan
Targeted Estimation of Variable Importance Measures with Interval-Censored Outcomes, Stephanie Sapp, Mark J. van der Laan, and Kimberly Page
Targeted Learning of an Optimal Dynamic Treatment, and Statistical Inference for its Mean Outcome, Mark J. van der Laan
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
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
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
TRIAL DESIGNS THAT SIMULTANEOUSLY OPTIMIZE THE POPULATION ENROLLED AND THE TREATMENT ALLOCATION PROBABILITIES, Brandon S. Luber, Michael Rosenblum, and Antoine Chambaz
Ultrahigh Dimensional Time Course Feature Selection, Peirong Xu, Lixing Zhu, and Yi Li
Variable Importance and Prediction Methods for Longitudinal Problems with Missing Variables, Ivan Diaz, Alan E. Hubbard, Anna Decker, and Mitchell Cohen
VARYING INDEX COEFFICIENT MODELS, Shujie Ma and Peter Xuekun Song
Vertically Shifted Mixture Models for Clustering Longitudinal Data by Shape, Brianna C. Heggeseth and Nicholas P. Jewell
Visualizing Longitudinal Data with Dropouts, Mithat Gonen