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Sunday, 07/31/2016
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Global versus local observations in personalized medicine
Debashis Ghosh, Colorado School of Public Health; Subhajyoti De, University of Colorado School of Medicine
2:05 PM
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A subgroup identification method based on quantitative criteria
Yan Sun, AbbVie; Samad Hedayat, University of Illinois at Chicago
2:05 PM
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Personalized time-to-event prediction in intensive care
Yingying Xu; Joel Dubin, University of Waterloo; Joon Lee, University of Waterloo
2:20 PM
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Using the case-only estimator for applications in marker-guided treatment
Chao-Kang Jason Liang, Fred Hutchinson Cancer Research Center; Holly Janes, Fred Hutchinson Cancer Research Center; James Dai, Fred Hutchinson Cancer Research Center
2:35 PM
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Adaptive Sampling for Subgroup Analyses
Alexander Luedtke, UC Berkeley; Antoine Chambaz, L'Université Paris Ouest Nanterre
3:20 PM
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Individualized Subgroup Variable Selection
Xiwei Tang, University of Illinois Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
3:35 PM
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New Integrative Paradigms of Personalized Medicine for Cancer
Kim-Anh Do, U.T. M.D. Anderson Cancer Center; Veera Baladandayuthapani, The UT MD Anderson Cancer Center; Francesco Stingo, UT MD Anderson Cancer Center; Min Jin Ha, U.T. M.D. Anderson Cancer Center; Thierry Chekouo Tekougang, University of Texas MD Anderson Cancer Center
4:05 PM
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Personalized Marketing and the Role of the Statistician in Retail
Rebecca Schulthess, Eastbay / FOOTLOCKER.COM
4:05 PM
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Integrative Analysis for Incorporating the Microbiome to Improve Precision Medicine
Hongzhe Li, University of Pennsylvania
4:30 PM
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Detecting Association to Precision Networks via Conditional Multi-Type Graphical Models
Yanming Li, University of Michigan; Kevin He, University of Michiga; Jian Kang, University of Michigan; Hyokyoung (Grace) Hong, Michigan State University; Ji Zhu, University of Michigan; Yi Li, University of Michigan
5:20 PM
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Monday, 08/01/2016
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Subgroup Analysis with semiparametric model in precision medicine
Xiaofei Chen
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Spatial Confounding in Semiparametric Regression Models for Spatial Data
Guilherme Ludwig, University of Wisconsin-Madison; Jun Zhu, University of Wisconsin-Madison; Chun-Shu Chen, National Changhua University of Education
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Integrating diverse genomics data sets to improve precision medicine in cancer treatment
Hongyu Zhao, Yale University
8:35 AM
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Spatial Confounding in Semiparametric Regression Models for Spatial Data
Guilherme Ludwig, University of Wisconsin-Madison; Jun Zhu, University of Wisconsin-Madison; Chun-Shu Chen, National Changhua University of Education
8:50 AM
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Penalized regression method for finding differences in brain connectome graphs
Donghyeon Yu, Keimyung University
9:35 AM
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E-learning data analysis for building a personalized recommendation system
Shuang Liu; K.F. LAM, The University of Hong Kong
9:50 AM
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List-based interpretable dynamic treatment regimes
Yichi Zhang, North Carolina State University; Eric Laber, NC State University; Anastasios Tsiatis, North Carolina State University; Marie Davidian, North Carolina State University
10:35 AM
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Personalized dose finding using outcome weighted learning
Guanhua Chen, Vanderbilt University ; Donglin Zeng, University of North Carolina at Chapel Hill; Michael R Kosorok, University of North Carolina at Chapel Hill
10:35 AM
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Machine learning tools for finding biomarkers in precision medicine
Jonathan Hibbard, University of North Carolina at Chapel Hill; Michael R Kosorok, University of North Carolina at Chapel Hill
11:00 AM
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Bayesian Additive Regression Trees (BART) and precision medicine
Brent Logan, Medical College of Wisconsin; Rodney Sparapani, Medical College of Wisconsin; Robert McCulloch, University of Chicago; Purushottam Laud, Medical College of Wisconsin
11:05 AM
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Personalized screening intervals for biomarkers using joint models for longitudinal and survival data
Dimitris Rizopoulos, Erasmus University Medical Center
2:05 PM
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Testing for differentially expressed pathways from within-subject matched pairs of RNA-seq data sets
Grant Schissler, Statistics GIDP; Walter W Piegorsch, University of Arizona; Yves A Lussier, University of Arizona
2:20 PM
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Bayesian nonparametric methods for precision medicine
Qian Guan, North Carolina State University; Eric Laber, NC State University; Dipankar Bandyopadhyay, Virginia Commonwealth University; Brian J Reich, North Carolina State University
2:55 PM
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Design and Analysis Considerations for Precision Studies in In-Vivo Diagnostic Test Studies
Changhong Song, FDA
3:05 PM
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Precision Medicine: How Bayesian Empirical Subgroup Analysis Play a Role
Judy X. Li, FDA; Wei-Chen Chen, FDA/CBER; John Scott, FDA
3:05 PM
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Localized semi-parametric prediction: a precision medicine approach in a trauma patient population
Sara E. Moore, University of California, Berkeley; Alan E. Hubbard, University of California, Berkeley; Mitchell J. Cohen, University of California, San Francisco
3:35 PM
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Tuesday, 08/02/2016
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Clustering for Personalized Preference Prediction
Fan Yang, University of Minnesota, Twin Cities; Xiaotong Shen, University of Minnesota
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An efficient and reliable statistical method for estimating functional connectivity in large scale brain networks using partial correlation
Yikai Wang, Emory University
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Confidence Interval Estimation of Prevalence When the Event is Rare
Clinton Alverson, CDC/NCBDDD/DBDDD/BDB
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Learning Health Systems: From Ideas to Reality
Rebecca Yates Coley, Johns Hopkins Bloomberg School of Public Health
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Adaptive Treatment Allocations for Emerging Infectious Diseases
Eric Laber, NC State University; Nicholas Meyer, North Carolina State University, Department of Statistics; Brian J Reich, North Carolina State University; Krishna Pacifici, North Carolina State University, Department of Applied Ecology; Tao Hu, North Carolina State University
9:00 AM
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Logical Inference of Efficacy in Subgroups and Their Combinations
Jason C Hsu, Eli Lilly & Company and Ohio State University
9:05 AM
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Generating Treatment Effect Modifiers from Complex Data Modalities
Thaddeus Tarpey, Wright State University; Eva Petkova, New York Universtiy; Todd Ogden, Columbia University
9:15 AM
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Stabilized Dynamic Treatment Regimes
Yingqi Zhao, Fred Hutchinson Cancer Research Center; Ruoqing Zhu, University of Illinois Urbana-Champaign; Guanhua Chen, Vanderbilt University
9:25 AM
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Statistics in Personalized Medicine
Mark van der Laan, University of California Berkeley; Alexander Luedtke, UC Berkeley
10:35 AM
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Data-driven dynamical systems models for the management of diabetes through mobile interventions
Daniel J. Luckett, University of North Carolina at Chapel Hill; Eric Laber, NC State University; Michael R Kosorok, University of North Carolina at Chapel Hill
10:35 AM
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A group-specific recommender system
Xuan Bi; Annie Qu, University of Illinois at Urbana-Champaign; Junhui Wang, City University of Hong Kong; Xiaotong Shen, University of Minnesota
10:35 AM
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A Random Forest of Modified Interaction Trees for Treatment Decision Rules
Zhen Zeng, Merck; Zheng Wei, Sanofi US Services Inc.; Yuefeng Lu, Sanofi US Services Inc.
10:35 AM
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A Random Forest of Modified Interaction Trees for Treatment Decision Rules
Zhen Zeng, Merck; Zheng Wei, Sanofi US Services Inc.; Yuefeng Lu, Sanofi US Services Inc.
10:35 AM
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Link-Free Identification of Simple Index Variables for the Prediction of Differential Treatment Response
Hongjie Zhu, Sanofi
11:05 AM
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Selecting optimal subgroups for treatment using many covariates
Tyler J. VanderWeele, Harvard University
11:25 AM
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Dynamic prediction of Alzheimer's disease risk based on longitudinal biomarkers and functional data
Sheng Luo, The University of Texas at Houston; Kan Li, The University of Texas at Houston
11:55 AM
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Bringing precision to Precision Medicine: What Error Measurement Models can do for classifiers ensemble.
Ronaldo Rouvher Guedes Silva, Mount Sinai; Lewis Tomalin, Icahn School of Medicine; Joel Correa da Rosa, Rockefeller University; Mayte Suárez-Fariñas, Icahn School of Medicine Mount Sinai
12:05 PM
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Module-based Reconstruction of Gene Regulatory Network into Predictive Modeling for High Dimensional Genomic Data
Rui Zhong, AbbVie; Xin Huang, AbbVie; Viswanath Devanarayan, AbbVie
2:35 PM
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Feature Selection for Class-imbalanced Data Using Binormal Precision-Recall Curves
Zhongkai Liu, North Carolina State University; Howard Bondell, North Carolina State University
2:50 PM
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Applications of remote sensing in precision agriculture at The Climate Corporation
Gardar Johannesson, The Climate Corporation
3:05 PM
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Wednesday, 08/03/2016
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Bayesian inference in nonparanormal graphical models
Jami Jackson, North Carolina State University; Subhashis Ghosal, North Carolina State University
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The Key Role of Statistics in Neuroimaging: Challenges and Opportunities
DuBois Bowman, Columbia University
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Adaptive estimation of personalized maximum tolerated doses in cancer phase I clinical trials according to all toxicities and individual characteristics
Zhengjia Chen, Emory University; Zheng Li, Pennsylvania State University; Ying Yuan, MD Anderson Cancer Center; Michael Kutner, Emory University; Taofeek Owonikoko, Emory University; Walter J. Curran, Emory University; Jeanne Kowalski, Emory University
8:45 AM
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Adaptive estimation of personalized maximum tolerated doses in cancer phase I clinical trials according to all toxicities and individual characteristics
Zhengjia Chen, Emory University; Zheng Li, Pennsylvania State University; Ying Yuan, MD Anderson Cancer Center; Michael Kutner, Emory University; Taofeek Owonikoko, Emory University; Walter J. Curran, Emory University; Jeanne Kowalski, Emory University
8:45 AM
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Multiple Testing Procedures for Adaptive Enrichment Designs: Combining Group Sequential and Reallocation Approaches
Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health; Tianchen Qian, Johns Hopkins Bloomberg School of Public Health; Yu Du, Johns Hopkins Bloomberg School of Public Health; Huitong Qiu, Johns Hopkins Bloomberg School of Public Health; Aaron Fisher, John Hopkins University
8:50 AM
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Adaptive models for profiling tumor evolution and drug response in cancer cell subpopulations
Evan Johnson, Boston University
8:50 AM
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The Innovations Lab: a new model for research collaborations
Richard Smith, University of North Carolina
10:35 AM
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Statistical and Dynamical Systems Modeling of Real-Time Adaptive m-Intervention for Pain
Chaeryon Kang, University of Pittsburgh; Daniel M Abrams, Northwestern University; Jingyi (Jessica) Li, University of California at Los Angeles; Qi Long, Emory University; Nirmish R Shah, Duke University
11:15 AM
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Predicting Pathologic Complete Response Using Clinical and Microarray Data in the Presence of a Dominating Class
Jonathon Abernethy, University of Illinois at Chicago; Jie Yang, University of Illinois at Chicago
11:35 AM
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Role of Functional Data Analysis in the Big Data Era: Applications to Precision Medicine
Hulin Wu, University of Texas Health Science Center at Houston
11:50 AM
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Prediction-Oriented Marker Selection (PROMISE) With application to high-dimensional regression
Soyeon Kim, The University of Texas MD Anderson Cancer Center; J. Jack Lee, The University of Texas MD Anderson Cancer Center; Veera Baladandayuthapani, The UT MD Anderson Cancer Center
2:20 PM
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Flexible Modeling of Local Dependence in Variables with a Natural Ordering
Guo Yu, Department of Statistical Science, Cornell University; Jacob Bien, Cornell University
2:50 PM
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Enhancing the precision of small-sample sensitivity tests
David H. Collins, Los Alamos National Laboratory; Michael S. Hamada, Los Alamos National Laboratory; Brian Phillip Weaver, Los Alamos National Laboratory
3:20 PM
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Thursday, 08/04/2016
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Personalized treatment for longitudinal data using unspecified random-effects model
Hyunkuen Cho, Western Michigan University; Peng Wang, University of Cincinnati; Annie Qu, University of Illinois at Urbana-Champaign
8:35 AM
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Is Q-learning a valid method of knowing?
Francisco Diaz, The University of Kansas Medical Center
8:35 AM
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Use of the VG (Virtual Twins combined with GUIDE) Method in the Development of Precision Medicines
Jia Jia; Qi Tang, AbbVie; Wangang Xie, AbbVie; Richard A Rode, AbbVie
8:35 AM
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Comparison of some subgroup identification algorithms for precision medicine in drug development
Xin Huang; Yan Sun, AbbVie; Saptarshi Chatterjee, AbbVie; Viswanath Devanarayan, AbbVie
8:55 AM
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Development of predictive signature to identify patient subgroups with differential treatment effect
Yu-Chuan Chen; James Chen, FDA, National Center for Toxicological Research; Un Jung Lee, FDA/NCTR
9:35 AM
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Restricted Mean Survival Time-Does Covariate Adjustment Improve Precision in Randomized Clinical Trials?
Theodore Karrison, University of Chicago; Masha Kocherginsky, University of Chicago
10:35 AM
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Build Individualized treatment rule on scale using healthcare data with genomic information
Jin Zhou, University of Arizona; Haoda Fu; Kevin Doubleday, University of Arizona
10:35 AM
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Individualizing Drug Dosage with Longitudinal Data
Xiaolu Zhu, University of Illinois, at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
10:50 AM
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Multi-Category Personalized Treatment Rule with Application to Diabetes Data Analysis
Xuanyao He, Eli Lilly and Company; Haoda Fu
10:55 AM
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Individualizing Prognosis of Disease Trajectories using Longitudinal Electronic Medical Record data: Application to Scleroderma
Suchi Saria, Johns Hopkins University; Peter Schulam, Johns Hopkins University
11:00 AM
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Estimating the optimal treatment regime for time-to-event data
Min Zhang, University of Michigan; Baqun Zhang, Renmin University
11:15 AM
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Doubly Robust Estimation of Optimal Treatment Regime in Additive Hazards Regression
Wenbin Lu, North Carolina State University; Suhyun Kang, North Carolina State University
11:50 AM |
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