Keyword Search
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CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Risk returned 136 record(s)
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Sunday, 07/28/2019
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Estimating Uncertainty in Weighted Competing Risk Analyzes
Amber Hackstadt, Vanderbilt University Medical Center; Jonathan Chipman, Vanderbilt University; Christianne L. Roumie , Vanderbilt University Medical Center, Veteran Administration Tennessee Valley VA Health ; Adriana M. Hung, Vanderbilt University Medical Center; Jea Young Min , Vanderbilt University Medical Center; Carlos G Grijalva , Vanderbilt University Medical Center; Marie R Griffin, Vanderbilt University Medical Center; Robert Greevy, Vanderbilt University
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The Jury Is Out: Communicating Bayesian Statistics in a Courtroom Trial
Mark Glickman, Harvard University
2:05 PM
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Finite Mixture Clustering of Risk Behaviors for an Infectious Disease
Joseph Kang, Centers for Disease Control and Prevention (CDC)
2:05 PM
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The Role of Time-Dependent Covariates in Models for the Risk of Repeated Events
Trent L Lalonde, University of Northern Colorado
2:25 PM
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The Choice to Define Competing Risk Events as Censoring Events and Implications for Causal Inference
Jessica Gerald Young, Harvard Medical School; Mats Julius Stensrud, Harvard School of Public Health; Eric Tchetgen Tchetgen, University of Pennsylvania; Miguel Hernan, Harvard University
2:30 PM
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Marginal Structural Models for a Continuous Outcome When the Risk of Death Depends on Treatment
Judith Lok, Boston University, Dept of Mathematics and Statistics
2:55 PM
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Bayesian Auto-G-Computation of Network Causal Effects: Incarceration and Infection in a High Risk Network
Isabel Fulcher, Harvard University; Eric Tchetgen Tchetgen, University of Pennsylvania; Ilya Shpitser, Johns Hopkins University; Caleb Lareau, Harvard Medical School
3:05 PM
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Quantification of Borrowing of Strength in Hierarchical Bayes Models
Prasenjit Ghosh, Texas A & M University; Anirban Bhattacharya, TAMU; Debdeep Pati, Texas A&M University
3:05 PM
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Alzheimer's Disease Risk Prediction with Multidimensional Biomarkers
Zheyu Wang, Johns Hopkins University
3:20 PM
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Estimating Uncertainty in Weighted Competing Risk Analyzes
Amber Hackstadt, Vanderbilt University Medical Center; Jonathan Chipman, Vanderbilt University; Christianne L. Roumie , Vanderbilt University Medical Center, Veteran Administration Tennessee Valley VA Health ; Adriana M. Hung, Vanderbilt University Medical Center; Jea Young Min , Vanderbilt University Medical Center; Carlos G Grijalva , Vanderbilt University Medical Center; Marie R Griffin, Vanderbilt University Medical Center; Robert Greevy, Vanderbilt University
3:20 PM
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A Mixed-Model Approach for Powerful Testing of Genetic Associations with Cancer Risk Incorporating Tumor Characteristics
Haoyu Zhang, Johns Hopkins University; Ni Zhao, Johns Hopkins University; Thomas U. Ahearn, National Cancer Institute; William Wheeler, Information Management Services, Inc.; Montserrat Garcia-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
3:35 PM
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Frailty Model to Account for Unmeasured Heterogeneity in SEER Registry Data: An Illustration to Estimate Race-Ethnic Mortality Risk in Pediatric Acute Myeloid Leukemia
Hacene Boukari, Delaware State University; Fatima Boukari, Delaware State University; Md Jobayer Hossain, Nemours children Healthcare Systems
4:35 PM
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Complex Disease Risk Prediction via a Deep Learning Method
Chong Wu, Florida State University
4:45 PM
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Benefit-Risk (BR) Evaluation for Diagnostic Tests
Jeng Mah, Beckman Coulter
5:20 PM
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Semiparametric Sufficient Dimension Reduction for Populations with Structured Heterogeneity
Jared Davis Huling, The Ohio State University; Menggang Yu, University of Wisconsin-Madison
5:20 PM
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Role of Biostatisticians in Transnational Researches in the Era of Big Data
Hua Zhong, New York University
5:25 PM
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Monday, 07/29/2019
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Teaching Statistical Distributions Using Roulette Martingale Strategies
Peter Pflaumer
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Examining Driver Risk Factors in Road Departure Accidents Using Longitudinal Data Collected for a Fixed Cohort of Drivers
Peter Hovey, University of Dayton; Deogratias Eustace, University of Dayton; Danah Alshatti, University of Dayton
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Combining Machine Learning and Statistical Modeling to Identify Risk Factors of Hospital Mortality and Directionality for Patients with Acute Respiratory Distress Syndrome (ARDS)
Meng Zhang, Feinstein Institute for Medical Research; Michael Qiu, Feinstein Institue for Medical Research; Molly Stewart, Feinstein Institue for Medical Research; Jamie Hirsch, Feinstein Institue for Medical Research; Negin Hajizadeh, Feinstein Institue for Medical Research
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Measuring Increases in Fire Weather Severity and Its Risk to Human Populations
Geoffrey Peterson, U.S. Environmental Protection Agency
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Prevalence of Sexual Orientation and Gender Identity Behaviors: An Approach for State-Level and National Estimation Derived from the Behavioral Risk Factor Surveillance System
YangYang Deng, ICF Macro, Inc.; Ronaldo Iachan, ICF Macro, Inc.
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STATISTICAL MODELS to IDENTIFY STUDENT CHARACTERISTICS to TAILOR GRADUATION INITIATIVES
Ayona Chatterjee, California State University East Bay; Chinki Rai, CSUEB; Fanny Yeung, CSUEB
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Using Machine Learning to Incorporate Nutrition into Cardiovascular Mortality Risk Prediction
Joseph Rigdon, Stanford University; Sanjay Basu, Stanford University
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A Scalable Algorithm for Joint Modeling of Longitudinal and Competing Risks Time-To-Event Data
Shanpeng Li, UCLA Department of Biostatistics; Eric Kawaguchi, UCLA Department of Biostatistics; Gang Li, UCLA
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Hospital Report Cards: Matched Design Versus Machine Learning
Frank Yoon
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Nonparametric Matrix Response Regression with Application to Calcium Imaging
Dehan Kong, University of Toronto
8:35 AM
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A Scalable Algorithm for Joint Modeling of Longitudinal and Competing Risks Time-To-Event Data
Shanpeng Li, UCLA Department of Biostatistics; Eric Kawaguchi, UCLA Department of Biostatistics; Gang Li, UCLA
9:00 AM
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Applying Cure Models with Competing Risks and Complex Censoring Patterns
Jeremy Taylor, University of Michigan; Lauren Beesley, University of Michigan
9:35 AM
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Defensive Efficacy Interim Design: Dynamic Benefit/Risk Ratio View Using Probability of Success
Zhongwen Tang, Abbvie
10:35 AM
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Evaluation of Imputation Approaches for Disease Diagnosis When Risk Factors Have Missing Values
Katherine E Irimata, National Center for Health Statistics; Guangyu Zhang, National Center for Health Statistics
10:35 AM
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Assessing Climate Risks: The Actuaries Climate Index, the Actuaries Climate Risk Index, and the Australian Actuaries Climate Index
Rade Musulin, FBAlliance Insurance; Peter Sousounis, AIR Worldwide; Michael Wehner, Lawrence Berkeley National Laboratory; Stephen L. Kolk, Kolkulations LLC
10:35 AM
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Predicting 30-Day Hospital Readmissions Using Deep Learning
Wenshuo Liu, University of Michigan-Ann Arbor; Ji Zhu, University of Michigan; Brahmajee Nallamothu, University of Michigan-Ann Arbor; Akbar Waljee, University of Michigan-Ann Arbor; Karandeep Singh, University of Michigan-Ann Arbor; Andrew Ryan, University of Michigan-Ann Arbor; Devraj Sukul, University of Michigan-Ann Arbor; Elham Mahmoudi, University of Michigan-Ann Arbor
10:50 AM
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Linking Brown Identities to Variational Inequalities of Hardy and Kolmogorov
Anirban Dasgupta, Purdue University
11:05 AM
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Effects of Risk Adjustment for Groups of Variables: Sicker, Poorer, Readmitted to the Hospital
Alan M. Zaslavsky, Harvard Medical School; Eric T. Roberts, University of Pittsburgh; J. Michael McWilliams, Harvard University Medical School
11:05 AM
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Test for Gene (G)-Environment (E) Interaction Based on the Trend Effect of Genotype Under an Additive Risk Model Using an Empirical Bayes-Type Shrinkage Estimator
Summer Han, Stanford University; Matthieu de Rochemonteix, Stanford University; Nilanjan Chatterjee, Johns Hopkins University
11:15 AM
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Weighting Estimators for Cox Regression for Studying Etiological Heterogeneity with Partially Observed Multiple Markers
Jooyoung Lee, Harvard T.H. Chan School of Public Health; Molin Wang, Harvard T.H. Chan School of Public Health
11:20 AM
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Model Selection Under Model Lean Framework
Linda Zhao, University of Pennsylvania
11:35 AM
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Relative Risk Estimation Using Multiple Imputation with Logistic Regression and Discretization
Jay Xu, University of California, Los Angeles; Thomas Belin, UCLA
11:50 AM
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Hospital Report Cards: Matched Design Versus Machine Learning
Frank Yoon
12:05 PM
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A Decision Theoretic Approach to Pre-Emptive Genotyping
Jonathan Schildcrout, Vanderbilt University Medical Center
2:05 PM
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Accounting for Preinvasive Conditions in the Analysis of Cancer Risk: With Application to Breast Cancer and the Sister Study
Jung In Kim, NIEHS/UNC; Jason Fine, University of North Carolina - Chapel Hill; Shanshan Zhao, National Institute of Environmental Health Sciences
2:05 PM
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A Fast and Scalable Sparse Regression Method for Competing Risks Data
Eric Kawaguchi, UCLA Department of Biostatistics; Marc Suchard, UCLA; Gang Li, UCLA; Jenny I. Shen, University of California, Los Angeles
2:05 PM
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Application of Stochastic Search Variable Selection to Modeling Evacuation Ahead of Hurricane Irma
Sierra Bainter, University of Miami; Caitlin Brown, University of Miami; Kiara Timpano, University of Miami
2:10 PM
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GWEB: An Empirical-Bayes-Based Approach for Heritability Estimation, Statistical Fine-Mapping and Genetic Risk Prediction Using GWAS Summary Statistics
Wei Jiang, Yale University; Hongyu Zhao, Yale
2:20 PM
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Cross-Sectional Length-Biased Semi-Competing Risks Data
Alexander C McLain, University of South Carolina; Jiajia Zhang, University of South Carolina; Marie Thoma, University of Maryland
2:20 PM
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Deep Insights into Explainability and Interpretability of Machine Learning Algorithms and Applications to Risk Management
Jie Chen, Wells Fargo
2:25 PM
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Credible Subgroups for Identifying Benefiting Populations with Time-To-Event Data
Duy Ngo; Richard Baumgartner, Merck Research Laboratories; Shahrul Mt-Isa, MSD; Dai Feng, AbbVie; Jie Chen, Merck Research Laboratories; Joe Heyse, Merck; Patrick Schnell, Ohio State University
2:35 PM
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A Latent Functional Approach to Characterize the Complex Exposure Relationships of Pesticides on Cancer Incidence
Sungduk Kim, NIH; Paul Albert , National Cancer Insititute
2:35 PM
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Instrumental Variable Estimation of Exposure Effects for Competing Risks Data Using a Semiparametric Mixture Component Model
Sai Dharmarajan, Food and Drug Administration; Douglas Schaubel, University of Michigan
2:35 PM
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Two-Component Mixture Model in the Presence of Covariates
Nabarun Deb, Columbia University; Sujayam Saha, Google; Adityanand Guntuboyina, University of California at Berkeley; Bodhisattva Sen, Columbia University
2:35 PM
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Propensity Score Matching with Missing Causes of Failure: a Monte Carlo Study
Seungbong Han, Gachon University
2:50 PM
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Concordance Index for Competing Risks Data in Discrete Time
Natalia A. Gouskova, Marcus Institute for Aging Research; Thomas G. Travison, Marcus Institute for Aging Research
3:20 PM
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Model Checking for Subdistribution Hazards Model Under Case-Cohort Design
Yayun Xu, Medical College of Wisconsin; Mei-Jie Zhang, Medical College of Wisconsin; Soyoung Kim, Medical College of Wisconsin
3:35 PM
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Tuesday, 07/30/2019
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Identifying the Optimal Timing of Surgery from Observational Data
Xiaofei Chen, Southern Methodist University/UT Southwestern; Daniel Heitjan, Southern Methodist University; Haekyung Jeon-Slaughter, UT Southwestern
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Estimating Uncertainty of Small Area Estimates via Multilevel Regression and Post-Stratification: a Comparison of Bayesian, Bootstrapping and Monte Carlo Simulation Methods
Yan Wang, CDC; Xingyou Zhang, Economic Research Service, USDA; James B. Holt, CDC; Hua Lu, CDC; Janet B. Croft, CDC; Kurt J. Greenlund, CDC
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The Effect of Missing Industry and Occupation Codes on the Assessment of Health Outcomes in the 2016 Behavioral Risk Factor Surveillance System (BRFSS) Survey
Jia Li, NIOSH; Matthew Groenewold, NIOSH; Sara E. Luckhaupt, NIOSH; Marie H. Sweeney, NIOSH; James M. Boiano, NIOSH
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Identifying Spatio-Temporal Variation in Breast Cancer Incidence Among Different Age Cohorts Using Bayesian Hierarchical Modeling
Amy Hahn, University of Iowa; Jacob J Oleson, University of Iowa; Alexandra Thomas, Wake Forest University School of Medicine; Kristin Conway, University of Iowa; Kathleen Stewart, University of Maryland; Charles Lynch, University of Iowa; Paul Romitti, University of Iowa
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Mining Longitudinal Real-World Data to Identify Risk Factors for Cardiovascular Events Related to Anti-Dementia Medications
Meiqi He, University of Pittsburgh School of Pharmacy; Yuting Zhang, University of Melbourne Institute of Applied Economic and Social Research; Inmaculada Hernandez, University of Pittsburgh School of Pharmacy
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Statistical and Epidemiological Challenges in Using the NHANES Assessment of Oral Human Papillomavirus Infection to Study Risk of Infection and of Oropharyngeal Cancer in the US
Barry Graubard, National Cancer Institute; Anil Chaturvedi, National Cancer Institute; Joseph Tota, National Cancer Institute; Hormuzd Katki, US National Cancer Institute; Maura Gillison, MD Anderson
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Estimation and Model Selection Methods for Polygenic Scores on Summary Statistics
Jack Pattee, University of Minnesota-Div of Biostatistics; Wei Pan, University of Minnesota
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On the Performance of Various Risk-Scoring Approaches
Yared Gurmu; Jeong-Gun Park, Brigham and Women's Hospital; Francesco Nordio, Brigham and Women's Hospital; Kyungah Im, Brigham and Women's Hospital; Jing Qian, University of Massachusetts Amherst
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Two-Stage Predictive Models for Assessing Misrepresentation Risk on Self-Reported Tobacco Status in Health Insurance Ratemaking
Hayley Jordan; Su Jianxi, Purdue University
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The Statistical Footprints in the Path from Real-World Data to Evidence
Qian Li
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GWEB: An Empirical-Bayes-Based Approach for Heritability Estimation, Statistical Fine-Mapping and Genetic Risk Prediction Using GWAS Summary Statistics
Wei Jiang, Yale University; Hongyu Zhao, Yale
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Application of Stochastic Search Variable Selection to Modeling Evacuation Ahead of Hurricane Irma
Sierra Bainter, University of Miami; Caitlin Brown, University of Miami; Kiara Timpano, University of Miami
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Re-Examining File-Level Re-Identification Risk Assessment
Lin Li, Westat; Jane Li, Westat; Tom Krenzke, Westat; Natalie Shlomo, University of Manchester
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Development of an International Prostate Cancer Risk Tool Integrating Data from Multiple Heterogeneous Cohorts
Donna Ankerst, Technical University of Munich; Johanna Tolksdorf, Technical University of Munich
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Survey Calibration to Improve the Efficiency of Pure Risk Estimates from Case-Control Samples Nested in a Cohort
Yei Eun Shin, National Cancer Institute; Ruth Pfeiffer, National Cancer Institute; Barry Graubard, National Cancer Institute; Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics
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Relative Risk Estimation in Clustered/Longitudinal Data Using Generalized Estimating Equations (GEE)
Chao Zhu, Menzies Institute for Medical Research, University of Tasmania; David W Hosmer, University of Vermont; Jim Stankovich, School of Medicine, University of Tasmania, Central Clinical School, Monash University; Karen Wills, Menzies Institute for Medical Research, University of Tasmania ; Leigh Blizzard, Menzies Institute for Medical Research, University of Tasmania
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Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study
Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
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Planning and Analyzing Clinical Trials with Competing Risks: Recommendations for Choosing Appropriate Statistical Methodology
Misun Yu Lee, Astellas Pharma; Joseph Poythress, University of Georgia; James Young, Astellas Pharma
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Variational Inference for Latent Space Models for Dynamic Networks
Yan Liu, University of Illinois at Urbana-Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
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Predictive Density Estimation of Multivariate Skew-Normal Distribution
Othmane Kortbi, UAE University Al-Ain
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A Class of Proportional Win Fractions Regression Models for Composite Endpoints
Lu Mao, University of Wisconsin-Madison
8:35 AM
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Development of an International Prostate Cancer Risk Tool Integrating Data from Multiple Heterogeneous Cohorts
Donna Ankerst, Technical University of Munich; Johanna Tolksdorf, Technical University of Munich
8:35 AM
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Estimations of the Joint Distribution of Failure Time and Failure Type with Prevalent Survival Data
Yu-Jen Cheng, National Tsing Hua University; Mei-Cheng Wang, Johns Hopkins University; Chang-Yu Tsai, National Tsing Hua University
8:35 AM
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Adverse Outcome Pathway Network Guided High-Dimensional Modeling for Risk Assessment Regarding Drug Induced Liver Injury
Dong Wang, FDA National Center for Toxicological Research (NCTR); Kapil Khadka, National Center for Toxicological Research/FDA
8:50 AM
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Pseudonymisation to Anonymisation: Addressing the GDPR in Survey Microdata
Jane Li, Westat; Tom Krenzke, Westat; Lin Li, Westat
8:55 AM
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Semiparametric Isotonic Regression Analysis for Risk Assessment Under Two-Phase Sampling Designs
Wen Li, The University of Texas School of Public Health; Ruosha Li, The University of Texas School of Public Health; Ziding Feng, Fred Hutchinson Cancer Research Center; Jing Ning, The University of Texas MD Anderson Cancer Center
9:05 AM
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Financial Stress Scenario Development in a Data-Rich Environment - a Practitioner's View
Xin Wang, HSBC/ IHS Markit
9:15 AM
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Re-Examining File-Level Re-Identification Risk Assessment
Lin Li, Westat; Jane Li, Westat; Tom Krenzke, Westat; Natalie Shlomo, University of Manchester
9:15 AM
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Bayesian Pseudo Posterior Synthesis for Data Privacy Protection
Jingchen Hu, Vassar College; Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Science Foundation
9:15 AM
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Semiparametric Model for Exchangeable Clustered Binary Outcomes
Xinran Qi, Medical College of Wisconsin; Aniko Szabo, Medical College of Wisconsin
9:35 AM
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Comparing Strategies in Estimating Variance of Risk Ratios with Random Population Sizes
Tracy Pondo, CDC; Laura A Cooley, CDC
9:50 AM
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Survey Calibration to Improve the Efficiency of Pure Risk Estimates from Case-Control Samples Nested in a Cohort
Yei Eun Shin, National Cancer Institute; Ruth Pfeiffer, National Cancer Institute; Barry Graubard, National Cancer Institute; Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics
9:50 AM
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Occupational Radiation Exposure in US Radiologic Technologists and Absolute Risk of Cataract Incidence Assessed Using a Generalized Additive Model
Mark P Little, Radiation Epidemiology Branch, National Cancer Institute; Elizabeth K Cahoon, National Cancer Institute; Cari M Kitahara, National Cancer Institute; Steven L Simon, National Cancer Institute; Nobuyuki Hamada, Radiation Safety Research Center, Nuclear Technology Research Laboratory, CRIEPI; Martha S Linet, National Cancer Institute
9:50 AM
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Tailored Optimal Post-Treatment Surveillance for Cancer Recurrence
Rui Chen, UW-Madison Dept. of Statistics; Menggang Yu, University of Wisconsin-Madison
9:55 AM
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Relative Risk Estimation in Clustered/Longitudinal Data Using Generalized Estimating Equations (GEE)
Chao Zhu, Menzies Institute for Medical Research, University of Tasmania; David W Hosmer, University of Vermont; Jim Stankovich, School of Medicine, University of Tasmania, Central Clinical School, Monash University; Karen Wills, Menzies Institute for Medical Research, University of Tasmania ; Leigh Blizzard, Menzies Institute for Medical Research, University of Tasmania
10:00 AM
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Benchmark Analysis for Joint-Exposure Quantal Data in Quantitative Risk Assessment
Lucy Kerns, Youngstown State University
10:05 AM
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Learning Optimal Individualized Decision Rules with Risk Control
Zhengling Qi
10:35 AM
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Variational Inference for Latent Space Models for Dynamic Networks
Yan Liu, University of Illinois at Urbana-Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
10:45 AM
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Validating Risk Prediction Models with Sub-Samples of Cohorts
Ruth Pfeiffer, National Cancer Institute; Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics; Yei Eun Shin, National Cancer Institute
11:00 AM
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Predictive Density Estimation of Multivariate Skew-Normal Distribution
Othmane Kortbi, UAE University Al-Ain
11:40 AM
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Integrative Survival Analysis with Uncertain Event Times in Application to a Suicide Risk Study
Wenjie Wang, University of Connecticut; Robert Aseltine, University of Connecticut Health Center; Kun Chen, University of Connecticut; Jun Yan, University of Connecticut
11:50 AM
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Modeling Time?Varying Effects of Multilevel Risk Factors of Hospitalizations in Patients on Dialysis
Yihao Li, UCLA; Danh V Nguyen, University of California At Irvine; Yanjun Chen, UC Irvine; Connie M Rhee, UC Irvine; Kamyar Kalantar-Zadeh, UC Irvine; Damla Senturk, UCLA
11:50 AM
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Planning and Analyzing Clinical Trials with Competing Risks: Recommendations for Choosing Appropriate Statistical Methodology
Misun Yu Lee, Astellas Pharma; Joseph Poythress, University of Georgia; James Young, Astellas Pharma
11:50 AM
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Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study
Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
11:55 AM
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Estimating Cross Quantile Residual Ratio with Left-Truncated Semi-Competing Risks Data
Jing Yang, Merck & Co., Inc; Limin Peng, Emory University
2:05 PM
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Penalized H-Likelihood Approaches for Various Random-Effects Survival Models
Il Do Ha, Pukyong National University; Youngjo Lee, Seoul National University
2:25 PM
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Bayesian Joint Models for Longitudinal and Competing Risks Data
Allison Furgal, University of Michigan Biostatistics; Ananda Sen, University of Michigan; Jeremy Taylor, University of Michigan
2:50 PM
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Modeling Future Climate-Induced Insurance Risk as Multi-Layer Networks
Vyacheslav Lyubchich, University of Maryland Center for Environmental Science; Yulia Gel, University of Texas at Dallas; Asim Dey, University of Texas at Dallas; Monisha Yuvaraj, University of Texas at Dallas
3:05 PM
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Methods for Survival Analysis Leveraging Data from Randomized Clinical Trials and Observational Studies
Jean De Dieu Tapsoba, Fred Hutchinson Cancer Research Center; Ying Qing Chen, Fred Hutchinson Cancer Research Center
3:05 PM
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Going Viral, Binge Watching, and Attention Cannibalism
Natalie Blades, Brigham Young University; Scott Grimshaw, Brigham Young University; Candace J. Berrett, Brigham Young University
3:35 PM
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Wednesday, 07/31/2019
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Validation and Application of Risk Prediction Models Using Medical Records in Taiwan
Hsing-Yi Chang, National Health Research Institute; Ching-Yu Huang, Industrial Technology Research Institute; Hsin-Ling Fang, NHRI
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Evaluation of Modern Approaches for the Complex Trait Prediction Using Genetic Data
Miao Zhang, Ancestry.com; Julie Granka, Ancestry.com
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The Evaluation of Cellphone Distraction Related Crash Risk Using Case-Crossover Design
Danni Lu, Virginia Tech; Feng Guo, Virginia Tech
8:35 AM
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Using ToxCast Data for Statistical Research in Chemical Risk Assessment.
Matthew W Wheeler, CDC/NIOSH
8:35 AM
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Network Meta-Analysis for Benefit-Risk Assessment
Sammy Yuan, Merck; Chang Liu, North Carolina State University
8:50 AM
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A Bayesian Approach to Quantify Risky Driving Behavior
Huizhong Guo; Linda Ng Boyle, University of Washington; John Lenneman, Toyota CSRC
8:50 AM
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Nonparametric Bayesian Joint Modeling of High-Throughput and Low-Throughput Genotoxicity Data
Michael Pennell, Ohio State University; Matthew W Wheeler, CDC/NIOSH
8:55 AM
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A General Framework for Using the Overall Concordance Statistic to Assess the Discriminatory Ability of Risk Predictions
Li Cheung, National Cancer Institute; Qing Pan, George Washington University; Barry Graubard, National Cancer Institute
9:00 AM
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Personalized Biopsy Schedules for Prostate Cancer Using Joint Models
Dimitris Rizopoulos, Erasmus University Medical Center
9:20 AM
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Quantifying Risk Stratification Provided by Diagnostic Tests and Risk Predictions
Hormuzd Katki, US National Cancer Institute
9:25 AM
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Asymptotically Constant Risk Estimator of the Time-Average Variance Constant
Chun-Yip Yau, Chinese University of Hong Kong
10:35 AM
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A Genome-Wide Gene-By-Trauma Interaction Study of Alcohol Misuse in Two Independent Cohorts Identifies PRKG1 as a Risk Locus
Renato Polimanti; Joan Kaufman, Johns Hopkins School of Medicine; Hongyu Zhao, Yale; Henry R. Kranzler, University of Pennsylvania School of Medicine; Robert J Ursano, Uniformed Services University of the Health Sciences; Ron Kessler, Harvard Medical School; Joel Gelernter, Yale University; Murray B. Stein, UCSD
11:15 AM
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Flexibly Accounting for Exposure Measurement Error in Counterfactual Risk Functions
Jessie Edwards, Univeristy of North Carolina at Chapel Hill
11:15 AM
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Uncertainty-Aware Black-Box Predictors with Coverage Guarantees
Jean Feng, University of Washington; Arjun Sondhi, University of Washington; Jessica Perry, University of Washington; Noah Simon, University of Washington
11:20 AM
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A Simulation Approach to Predicting Time to Terminal Event in Joint Dynamic Modeling
Piaomu Liu, Dept. of Mathematical Sciences, Bentley University; Edsel A Pena, University of South Carolina
11:50 AM
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A Framework for Considering the Risk-Benefit Trade-Off in Designing Trials Using Non-Inferiority or Composite Outcome Approaches
Ritesh Ramchandani, Harvard University; Grace Montepiedra, Harvard University; Soyeon Kim, Harvard University; Sachiko Miyahara, Harvard University
12:05 PM
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Using Deep Learning to Build Risk Prediction Models for Time-to-Event Outcomes
Jon Steingrimsson, Brown University; Samantha Morrison, Brown University; Constantine Gatsonis, Brown University
2:05 PM
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Incorporating Frequency-Severity Dependence into Collective Risk Models
Zifeng Zhao, University of Notre Dame; Peng Shi, University of Wisconsin-Madison
2:05 PM
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Computer Model Emulation with High-Dimensional Zero-Inflated Spatial Data: An Application to Storm Surge
Pulong Ma, SAMSI/Duke University
2:20 PM
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Case-Only Analysis of Gene-Environment Interactions Using Polygenic Risk Scores
Allison Meisner, Johns Hopkins Bloomberg School of Public Health; Nilanjan Chatterjee, Johns Hopkins University
2:25 PM
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Loss Reserving Models for the Unearned Premium Risk
Mathieu Pigeon, UQAM; Jean-Philippe Boucher, UQAM; Sebastien Jessup, UQAM
2:25 PM
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Generalized Meta-Analysis for Combining Disparate Risk Factor Information Across Studies: Inference on Multiple Regression Based Risk Prediction Models
Prosenjit Kundu, The Johns Hopkins University Bloomberg School of Public Health; Runlong Tang, The Johns Hopkins University Bloomberg School of Public Health; Nilanjan Chatterjee, Johns Hopkins University
2:45 PM
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Development and Validation of Breast Cancer Risk Prediction Models Using ICARE and Projections for Future Risk Stratification
Amber Wilcox, National Cancer Institute; Parichoy Pal Choudhury, National Cancer Institute; Montserrat Garcia-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
3:05 PM
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Racial and Ethnic Fairness in Clinical Risk Prediction with an Application to Suicide Risk Prediction
Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute; Eric Johnson, Kaiser Permanente Washington Health Research Institute; Susan Shortreed, Kaiser Permanente Washington Health Research Institute
3:25 PM
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Thursday, 08/01/2019
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Monitoring Performances of Surgeons Using a New Risk-Adjusted Exponentially Weighted Moving Average Control Chart
Fah Fatt Gan, National University of Singapore
8:35 AM
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Analysis of Familial Aggregation Using Recurrence Risk for Complex Survey Data
Cong Wang, FDA, Center for Biologics Evaluation and Research (CBER); Barry Graubard, National Cancer Institute; Zhaohai Li, The George Washington University
9:05 AM
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Patient Factors at Diagnosis and Overall Risk of Mortality in US Population-Based Pediatric Oncology: An Evaluation Using SEER Data
Fatima Boukari, Delaware State University; Md Jobayer Hossain, Nemours children Healthcare Systems
9:20 AM
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Longitudinal Predictive Risk Modeling
Seonjin Kim, Miami University; Hyunkeun Cho, University of Iowa, College of Public Health; Mi-Ok Kim, University of California San Francisco; Zhuangzhuang Liu, University of Iowa
9:50 AM
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Effective Disease Screening by Online Risk Monitoring
Lu You, University of Florida; Peihua Qiu, University of Florida
10:05 AM
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On the Loss Robustness of Least Square Estimators
Tamal Ghosh, University of Florida; Malay Ghosh, University of Florida; Tatsuya Kubokawa, The university of Tokyo
10:50 AM
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Balancing Inferential Integrity and Disclosure Risk via Model Targeted Masking and Multiple Imputation
Bei Jiang, University of Alberta; Adrian Raftery, University of Washington; Russell Steele, Mcgill University; Naisyin Wang, U of Michigan
11:15 AM
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Statistical Risk Bounds for Deep Neural Networks
Johannes Schmidt-Hieber, Leiden University
11:25 AM
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Prediction Risk in Linear Regression Models Under Global-Local Mixture Priors
Anindya Bhadra, Purdue University; Jyotishka Datta, University of Arkansas; Yunfan Li, Purdue University; Nicholas Polson, University of Chicago; Brandon Willard, University of Chicago
11:35 AM
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