Invited and Contributed Sessions
All session will be held in Laurel Hall.
Friday 10:30-12:15
1. Sample size considerations and dynamic prediction in time-to-event studies
- Organizer: Adin-Cristian Andrei, Department of Surgery, Northwestern University
Chair: Mithat Gönen, Memorial Sloan-Kettering Cancer Center
- Jeremy M.G. Taylor, Department of Biostatistics, University of Michigan Ann Arbor
“Dynamic prediction of event times using longitudinal data” - Guadalupe Gómez Melis, Universitat Politècnica de Catalunya
“Sample size considerations for composite endpoints” - Adin-Cristian Andrei, Department of Surgery, Northwestern University
“Balancing baseline covariate similarity versus sample size considerations when matching methods are used in observational studies with survival endpoints” Joseph G. Ibrahim, Department of Biostatistics, University of North Carolina Chapel Hill
“Bayesian Sample Size Determination for Clinical Trials using Historical Data”
Room 111
2. Special session on reverse alignment in survival processes
Organizer and Chair: Niels Keiding, University of Copenhagen
- Peter McCullagh, University of Chicago
“Statistical models for survival processes” Discussant: Gary Chan, University of Washington, Seattle
Discussant: Per Kragh Andersen, University of Copenhagen
Room 201
3. Alternatives to the log-rank test for clinical trials
Organizer and Chair: Rick Chappell, Departments of Statistics and of Biostatistics and Medical Informatics, University of Wisconsin
- Rick Chappell, Departments of Statistics and of Biostatistics and Medical Informatics, University of Wisconsin
“Drawbacks of the log-rank test and alternatives to it” - Lee McDaniel, Louisiana State University School of Public Health
“The additive hazards model in clinical trials” - Theodore Karrison, Department of Public Health Sciences, University of Chicago
“The restricted mean life” Hajime Uno, Departments of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and of Medicine, Harvard Medical School
“Flexible rank-based tests”
Room 107
4. Complex Modeling of Survival and Longitudinal Data
- Organizer: Jane-Ling Wang, University of California, Davis
Chair: Gang Li, UCLA
- Edsel De la Pena, University of South Carolina
“Dynamic Time-to-Event Models” - Jian-Guo Sun, University of Missouri
“Joint Analysis of Interval-censored failure Time Data and Panel Count Data” - Jane-Ling Wang, University of California, Davis
“Functional Cox Model” Grace Yi, University of Waterloo
“Analysis of Survival Data with Covariate Measurement Error Under the Additive Hazards Model”
Room 205
5. Observational Survival Data
- Organizer: Nicholas P. Jewell, University of California, Berkeley
Chair: Jerry Lawless, University of Waterloo, Canada
- Marco Carone, University of Washington
“Computerized Efficient Inference in Survival Problems” - Ana Best, National Cancer Institute
“Nonparametric Survival Estimates from Mixed Incident and Prevalent Cohort Data” - Nicholas P. Jewell, University of California, Berkeley
“Grouped Current Status Data” Jack Kalbfleisch, University of Michigan
“Profiling Medical Providers using Survival Data”
Room 206
6. Asymptotics Methods on Censored and Truncated data
Organizer and Chair: Mounir Mesbah, Université Pierre et Marie Curie,P6
- Abdelkader Tatachak, Université Houari Boumedienne, Algiers, Algeria
“Nonparametric regression estimation for associated data under censoring or truncation: strong consistencies and rates” - Jimmy Efird, University of Newcastle, Australia “Risk Stratification Using a Weibull Proportional Hazards Model: Asymptotic Efficiency of a Counting Process Approach”
Discussant: Mounir Mesbah, Université Pierre et Marie Curie,P6
Room 106
7. Bayesian Survival Analysis
Organizer and Chair: Lynn Kuo, University of Connecticut
- Victor Hugo Lachos Davila, University of Connecticut
“A Multivariate Student-t Regression Model with Measurement Errors for Censored Data” - Kyu Ha Lee, The Forsyth Institute
“Accelerated Failure Time Models for Semi-Competing Risks Data in the Presence of Complex Censoring” - Sungduk Kim, National Institutes of Health
“A Joint Model Approach for Longitudinal Data with no Time Zero and Time-To-Event with a Competing Risk” Danjie Zhang, Gilead Sciences
“Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data with Applications to Cancer Clinical Trials”
Room 202
8. Causal inference with lifetime data
Organizer and Chair: Richard Cook, Department of Statistics and Actuarial Science, University of Waterloo
- Douglas Schaubel, University of Michigan
“Estimating the effect of a time-dependent state change on correlated recurrent and terminal events” - Kjetil Roysland, University of Oslo
“Causal local independence models” - David Stephens, McGill University
“Survival dynamic treatment regimes with a cured fraction” Aksel Jensen, University of Copenhagen
“A marginal structural model for recurrent events in the presence of time-dependent confounding: non-specific effects of vaccines on child hospitalisations”
Room 302
9. Survival analysis in psychiatry and neurological disorders
Organizer and Chair: Sharon Xiangwen Xie, Department of Biostatistics and Epidemiology, University of Pennsylvania
- Rebecca Betensky, Departments of Biostatistics, Harvard University
“Methods for analyzing time-to-event data with time-varying biomarkers measured only at study entry: application to imaging markers in Alzheimer’s disease” - Mengjie Zheng and Sujuan Gao, Department of Biostatistics, Indiana University School of Medicine
“Joint modeling of longitudinal and survival outcomes using generalized estimating equations” - Jeffrey D. Long, Department of Psychiatry, Carver College of Medicine and Department of Biostatistics, College of Public Health, University of Iowa
“Random survival forests for exploratory analysis in neurological disorders” Ralitza Gueorguieva, Department of Biostatistics, Yale University
“Joint modeling of symptom severity and competing risk dropout in psychiatry”
Room 301
Friday 1:45-3:30
10. Joint modeling with a view towards risk predictions
- Organizer: Rajeshwari Sundaram, Biostatistics Branch, NICHD, NIH
Chair: Mei-Cheng Wang, Johns Hopkins University
- Paul S. Albert, Senior Investigator and Chief, Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute
“Predicting poor pregnancy outcomes from multivariate Ultrasound Fetal Growth data” - Danping Liu, Investigator, Biostatistics and Bioinformatics Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development
“A Joint modelling approach for informative cluster size and gap time in longitudinal data with application to a repeated pregnancy study” - Sheng Luo, University of Texas-Houston
“Dynamic prediction of Alzheimer’s disease progression with longitudinal functional joint model” Debajyoti Sinha, Florida State University
“Bayesian estimation of recurrent events and dependent terminal event”
Room 111
11. Risk prediction models and application
- Organizer: Nilanjan Chatterjee, Bloomberg School of Public Health, Johns Hopkins University
Chair: Guoqing Diao, George Mason University
- Jinbo Chen, Perelman School of Medicine, University of Pennsylvania
“Absolute Risk Prediction through Integration of Data from Multiple Sources” - Summer Han, Stanford University
“Simulating risk factors for lung cancer to optimize lung screening guidelines” - Rajeshwari Sundaram, NICHD
“Prediction of infertility based on behavior and biology: a joint modeling approach” Parichoy Pal Choudhury, Bloomberg School of public health, Johns Hopkins University
“Model evaluation using missing data approach in two-phase studies”
Room 201
12. Risk Analysis in the Biomedical and Environmental Field
Organizer and Chair: Catherine Huber-Carol, University Paris Descartes
- Olivier Bouaziz, University Paris Descartes
“A Change-Point Model for Detecting Heterogeneity in Ordered Survival Responses” - Sneh Gulati, Florida International University
“Methods to estimate Probable Maximum Loss for the Florida Public Hurricane Loss Model” - Pascale Tubert-Bitter, Unité INSERM mixte, Université de Versailles Saint-Quentin-en-Yvelines
“Parametric maximum likelihood estimation of time-to-onset distribution from adverse drug reaction spontaneous reporting databases” Min-ge Xie, Rutgers University
“iFusion - Fusion Learning from Individual to Clique with an Application to Recurrent Events”
Room 106
13. Recent development in the analysis of complex structured survival data
- Organizer: Wenqing He, University of Western Ontario
Chair: Yichuan Zhao, Georgia State University
- Jerry Lawless, University of Waterloo
“Some aspects of life history analysis from observational data bases” - Zhezhen Jin, Department of Biostatistics, Columbia University
“Survival time-related cut-point with censored data” - Sundar Subramanian, New Jersey Institute of Technology
“Function-based hypothesis testing via plug-in empirical likelihood in censored location-scale families” Wenqing He, University of Western Ontario
“Analysis of Multivariate Survival Data under Semiparametric Copula Models with/without Measurement Error”
Room 202
14. Outcome-dependent sampling in the survival analysis context
Organizer and Chair: Sebastien Haneuse, Harvard T.H. Chan School of Public Health
- James Dai, Fred Hutchinson Cancer Research Center
“Augmented case-only designs for randomized clinical trials with failure time endpoints” - Michelle Zhou, Mississippi State University
“Assessing incremental value of biomarkers with multi-phase nested case-control studies” - Ina Jazic, Harvard T.H. Chan School of Public Health
“Analysis of semi-competing risks data from a nested case-control study” Discussant: Enrique Schisterman, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Room 205
15. Recent Developments in High-Dimensional Survival Analysis and Biased Sampling
- Organizer: Gang Li, UCLA
Chair: Yu Cheng, University of Pittsburgh
- Ian W. McKeague, Department of Biostatistics, Columbia University
“Tests for stochastic ordering under biased sampling” - Donglin Zeng, Department of Biostatistics, University of North Carolina at Chapel Hill
“Predicting survival event using sparsely measured high dimensional biomarkers” - Yi Li, Department of Biostatistics University of Michigan
“Conditional screening for high dimensional survival outcome data” Gang Li, Department of Biostatistics, UCLA
“Broken Adaptive Ridge Regression for High Dimensional Survival Data”
Room 206
16. Advances in summarizing and modeling complex survival data
- Organizer: Amita Manatunga, Emory University, Atlanta, Georgia
Chair: Eugene Huang, Emory University, Atlanta, Georgia
- Chenxi Li, Department of Epidemiology and Biostatistics Michigan State University
“A Semiparametric Multi-State Model for Correlated Interval-Censored Life-History Data in Caries Research” - Limin Peng, Emory University, Atlanta, Georgia
“A New Flexible Dependence Measure for Semi-Competing Risks Data” Shuling Liu, Center for Outcomes Research and Evaluation, Yale University
“A modeling approach for multivariate survival data with random length”David Oakes, University of Rochester Medical Center
“Matched Pairs Survival Data – a New Look at an Old Problem”
Room 301
17. Semiparametric Statistical Methods for Complex Failure Time Data
- Organizer: Yanqing Sun, The University of North Carolina at Charlotte
Chair: Jianguo (Tony) Sun, University of Missouri
- Yichuan Zhao, Georgia State university
“Empirical Likelihood Inference For The Odds Ratio Of Two Survival Functions Under Right Censoring” - Jiajia Zhang, University of South Carolina
“Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model with Interval Censored Data” - Tony Sit, Department of Statistics, The Chinese University of Hong Kong
“Semiparametric Survival Models Under General Biased Sampling Scheme” Donna Spiegelman, Harvard School of Public Health
“Causal Estimation of Direct and Indirect Effects in Studies With Clustering”
Room 302
18. Recent Developments in Statistical and Computational Methods for Biomedical Data
Organizer and Chair: Jong H. Jeong, University of Pittsburgh
- Chung-Chou H. Chang, Department of Medicine and Department of Biostatistics, University of Pittsburgh
“Development of model-based surrogate endpoint for sepsis studies” - Pang Du, Department of Statistics, Virginia Tech
“Promotion time cure rate model with nonparametric form of covariate effects” - Bin Nan, Department of Biostatistics, University of Michigan
“Semiparametric Z-estimation for bundled parameters and case-cohort design” Ying Wei, Department of Biostatistics, Columbia University
“Handling missing data in Electronic Health Records”
Room 107
Friday 3:45-5:30
19. From Functional to Neuroimaging data
Organizer and Chair: Jane-Ling Wang, University of California, Davis
- Hans-Georg Mueller, University of California, Davis
“Dynamic Modeling of Longitudinal Snippets” - Damla Senturk, University of California, Los Angeles
“A Multi-Dimensional Functional Principal Components Analysis of EEG Data” - Yue Wang, University of North Carolina, Chapel Hill
“Functional Linear Models via Partial Least Square” Yehua Li, Iowa State University
“Joint Modeling of Longitudinal Drug Using Pattern and Time to First Relapse in Cocaine Dependence Treatment Data”
Room 111
20. Recent Advances on Statistical Methods for Health Studies
Organizer and Chair: DoHwan Park, University of Maryland, Baltimore County
- Liang Zhu, University of Texas, Houston
“A semiparametric likelihood-based method for regression analysis of mixed panel-count data” - Haiying Wang, University of New Hampshire, Durham
“Focused and Model Average Estimation for Regression Analysis of Panel Count Data” Dong-Yun Kim, National Institute of Health
“Sequential Patients Recruitment Monitoring (SPRM)”
Room 106
21. Joint Modeling and Weighted Estimation for Survival Data Analysis
Organizer and Chair: Haocheng Li, Departments of Oncology and Community Health Sciences, University of Calgary
- Hua Shen, University of Calgary
“Analysis of the interval-censored life history data with missing information” - Ying Yan, University of Calgary
“Optimally weighted estimation in case-cohort studies” - Dongdong Li, Simon Fraser University
“Modelling and Analysis of Event Times with Observations Subject to Informative Censoring” Liqun Diao, University of Waterloo
“Copula-based Models for Recurrent Exacerbations”
Room 107
22. New Approaches for Analyzing Time to Event Data with application in Cancer studies
Organizer and Chair: Xiaonan Xue, Albert Einstein College of Medicine
- Charles B. Hall, Albert Einstein College of Medicine
“Piecewise Exponential Survival Models with Change Points for Modeling Changes in Relative Risk over Follow Up” - Yongzhao Shao, New York University School of Medicine
“Measures for prognostic accuracy in semi-parametric mixture cure models” - Xiaonan Xue, Albert Einstein College of Medicine
“A Censored Quantile Regression Approach for the Analysis of Time to Event Data” Arthur Berg, Penn State University
“Reduced Bias in Nonparametric Censored Density and Hazard Estimation”
Room 201
23. Quality of Life and Other Applications
- Organizer: Mei-Ling Ting Lee, University of Maryland
Chair: Xin He, University of Maryland
- Catherine Huber, L’Université Paris Descartes
“Survival and Quality of Life” - Yen-Tsung Huang, Academia Sinica, Taiwan
“Mendelian randomization for survival outcomes using semiparametric transformation models” - Victoria Wang, Dana Farber Cancer Institute
“Meta-STEPP: subpopulation treatment effect pattern plot for individual patient data meta-analysis” Weiliang Qiu, Harvard Medical School
“Association of Pre-Diagnosis BMI Measurements to Prostate Cancer mortality”
Room 202
24. Joint Modelling of Longitudinal Measurements and Event History Data
- Organizer: Wei Liu, Department of Mathematics and Statistics, York University
Chair: X. Joan Hu, Department of Statistics and Actuarial Science, Simon Fraser University
- Wei Liu, Department of Mathematics and Statistics, York University
“Two-Step and Likelihood Methods for HIV Viral Dynamic Models with Covariate Measurement Errors and Missing Data” - Paul Y. Peng, Department of Public Health Sciences, Queen’s University
“Joint modeling of longitudinal proportional measurements and survival time and its application to a breast cancer clinical trial” - Guohua Yan, Department of Mathematics and Statistics, University of New Brunswick
“A flexible approach for multivariate mixed-effects models in the presence of non-ignorable missingness and measurement error” Hongbin Zhang, Department of Epidemiology and Biostatistics, City University of New York
“Joint Inference of NLME and GLMM Models with Nonignorable Drop-outs”
Room 205
25. Time-to-Event Models for Human Health Risk Assessment
Organizer and Chair: Michael Pennell, The Ohio State University
- Joel Schwartz, T.H. Chan school of public health, Harvard University
“A marginal structural additive quantile survival analysis to estimate years of life lost attributable to risk factors” - Polyna Khudyakov, T.H. Chan school of public health, Harvard University
“Survival analysis with measurement error in a cumulative exposure variable: radon progeny in relation to lung cancer mortality” Dustin Long, University of Alabama-Birmingham,
“Erroneous Hormetic Effect Identification in Cox Models Due to Polynomial Splines”
Room 206
26. Industry perspectives on lifetime data science
Organizer and Chair: Jonathan Siegel, Bayer US
- Satrajit Roychoudhury, Director of Statistics, Novartis
“Audit Strategy for Blinded Independent Central Review of Progression in Cancer Clinical Trials” - Aparna Anderson, Statistics Collaborative
“Co-primary Endpoints: Scientific and Regulatory Points to Consider” - Wayne Nelson, Statistical Consultant
“Get more information from recurrent events data: product repairs, disease recurrences, and other applications” Christian Kappeler, Bayer AG
“Implementing overall survival crossover adjustment methods: Clinical evidence to support the common treatment effect assumption”
Room 301
27. The win ratio and related topics in multiple event time data
Organizer and Chair: David Oakes, University of Rochester
- David A. Schoenfeld, Department of Biostatistics, Harvard T.H. Chan School Of Public Health
“Deconstructing the Win Ratio” - Lu Mao, University of Wisconsin-Madison
“Regression and Causal Models for the Composite Endpoint” - Xiaoding Luo, Sanofi Inc
“Weighted win loss approach for analyzing prioritized outcomes” Changyong Feng, University of Rochester
“Using Wei Lin and Weissfeld’s approach in estimating a win ratio”
Room 302
Saturday 8:30-10:15
28. Recent Advances in Analyzing Multi-State and Family Data
Organizer and Chair: Ying Yan, Department of Mathematics and Statistics, University of Calgary
- Baojiang Chen, University of Nebraska Medical Center
“Using the accelerated failure time model to analyze current status data with misclassified covariates” - Yun-Hee Choi, Western University
“Joint nested frailty models for screening visits and survival data arising from Lynch Syndrome families” - Karen Kopciuk, Alberta Health Services and University of Calgary
“Risk Estimation in Family Data via Multi-state Models” Leilei Zeng, University of Waterloo
“Modelling multistate data under prevalent cohort sampling”
Room 106
29. Measurement Error, Mediation Analysis, and Individualized Medicine
Organizer and Chair: Ying Qing Chen, Fred Hutchinson Cancer Research Center
- Yijian Huang, Emory University
“Cox regression with covariate measurement error” - Cheng Zheng, University of Wisconsin, Milwaukee, WI
“Mediation Analysis on Time-to-event Outcome Data with Unmeasured Confounding and Measurement Error” - Yingqi Zhao, Fred Hutchinson Cancer Research Center
“Estimating Individualized Treatment with Censored Data” Discussant: Ross Prentice, Fred Hutchinson Cancer Research Center
Room 111
30. Statistical Analysis of Recurrent, Competing Risks, and Current Status Data
Organizer and Chair: Edsel A. Pena, University of South Carolina
- Gary Chan, University of Washington
“Modeling and estimating the terminal behavior of recurrent marker processes before failure events” - Michael Pennell, Ohio State University
“Bayesian Threshold Regression for Multivariate Current Status Data with Informative Censoring” - Alexander McLain, University of South Carolina
“Analysis of current duration data: modeling strategies and competing risks” Piaomu Liu, Bentley University
“Model Diagnostics of a Class of Joint Dynamic Models of Recurrent Competing Risks and a Terminal Event”
Room 201
31. On risk prediction in the presence of competing risks
Organizer and Chair: Joanna H. Shih, National Cancer Institute
- Guoqing Diao, Department of Statistics, The Volgenau School of Engineering, George Mason University
“Time-varying coefficient risk prediction models for competing risks data” - Thomas H. Scheike, Department of biostatistics, University of Copenhagen
“Estimation of dependence parameters for competing risks data” - Malka Gorfine, School of Mathematical Sciences, Tel Aviv University
“Calibrated predictions for multivariate competing risks models” Per Kragh Andersen, Department of biostatistics, University of Copenhagen
“Evaluation of models for predicting the cumulative incidence”
Room 202
32. Challenges and New Methods of Complex Health Data
Organizer and Chair: Grace Y. Yi, University of Waterloo
- Yanqing Sun, The University of North Carolina at Charlotte
“Analysis of Two-Phase Sampling Data with Semiparametric Additive Hazards Models” - Tibor Schuster, McGill University
“Challenges in simulating high-dimensional health data for inference method evaluation” - Michal Abrahamowicz, McGill University
“Flexible modeling of survival curves conditional on time-dependent and/or non-linear effects of prognostic factors” Joan Hu, Simon Fraser University
“Risk Classification and Prediction with Event History Data”
Room 205
33. New Statistical Methods for Complex Structures in Survival Data
- Organizer: Donglin Zeng, University of North Carolina at Chapel Hill
Chair: Jianwen Cai, University of North Carolina at Chapel Hill
- Rui Song, North Carolina State University
“On estimation of optimal treatment regimens for survival data” - Qingxia Chen, Vanderbilt University
“Quantifying the Average of the Time-varying Hazard Ratio via a Class of Transformations” - Qiang Sun, Yale University
“Counting Process based Dimension Reduction for Censored Outcome” Fang-Shu Ou, Mayo Clinic
“Quantile regression models for interval-censored failure time data”
Room 206
34. New machine learning methods for censored survival and competing risks data
Organizer and Chair: Robert Strawderman, Department of Biostatistics & Computational Biology, University of Rochester
- Jon Steingrimsson, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health.
“Censoring Unbiased Regression Trees and Forests” - Youngjoo Cho, Department of Biostatistics & Computational Biology, University of Rochester
“Regression Trees Under Competing Risks” - Ruoqing Zhu, Department of Statistics, University of Illinois at Urbana-Champaign
“Consistency of Survival Tree models with Martingale-based Splitting Rules” Discussant: Annette Molinaro, Department of Neurological Surgery, University of California at San Francisco
Room 301
35. Advances in Statistical Modeling of Correlated Data
- Organizers: Zhengqing Ouyang, The Jackson Laboratory for Genomic Medicine, and Yuping Zhang, University of Connecticut
Chair: Zhengqing Ouyang, The Jackson Laboratory for Genomic Medicine
- Antai Wang, New Jersey Institute of Technology
“A new estimator of baseline hazard function in bivariate frailty models” - Zuoheng (Anita) Wang, Yale University
“Joint statistical modeling of multiple phenotypes in related samples” - Ji Meng Loh, New Jersey Institute of Technology
“A Single-Index Model for Inhomogeneous Spatial Point Patterns” Yuping Zhang, University of Connecticut
“A Statistical Framework for Data Integration through Graphical Models with Application to Cancer Genomics”
Room 302
36. Modeling Disease Natural History and Effects of Treatment: Applications to Prostate Cancer
Organizer and Chair: James Dignam, Department of Public Health Sciences, University of Chicago
- Alexander Tsodikov, Department of Biostatistics, University of Michigan
“Modeling cancer natural history and mortality” - Yolanda Hagar, Department of Applied Mathematics, University of Colorado
“Flexible modeling of the hazard rate to capture short and long-term treatment effects” - Meredith Regan, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute
“Identification and validation of surrogate time-to-event endpoints for use in localized prostate cancer randomized trials using individual patient data meta-analysis” Loic Ferrer, INSERM, Université de Bordeaux, France
“Joint modelling of longitudinal and multi-state processes: application to clinical progressions in prostate cancer”
Room 107
37. Student Paper Presentations
Organizer and Chair: Mei-Cheng Wang, Johns Hopkins University
- Ling-Wan Chen, University of Pittsburgh
“Cumulative Incidence Regression for Dynamic Treatment Regimens” - Fei Gao, University of North Carolina
“Semiparametric Regression Analysis of Interval-Censored Data With Informative Dropout” - Haitao Huang, Georgia State University
“Empirical likelihood for the bivariate survival function under univariate censoring” - Nathalie C. Moon, University of Waterloo
“Tracing studies in cohorts with loss-to-follow-up: selection models for optimal efficiency” - Jin Wang, University of North Carolina
“Single Index Models in Proportional Hazard Regression for Precision Medicine” Wenjie Wang, University of Connecticut
“Extended Cox Model by ECM Algorithm for Uncertain Survival Records Due to Imperfect Data Integration”
Room 108
Saturday 10:30-12:15
38. Tree-Based Methods for Survival Data
- Organizer: Denis Larocque, HEC Montréal
Chair: Ruoqing Zhu, University of Illinois at Urbana-Champaign
- Adele Marshall, Queen’s University Belfast
“A Tree-based Method for the Coxian Phase-type Distribution” - Philippe Broët, University Paris-Saclay
“Bagging Improper Survival Trees for Prediction and Variable Selection” - Jeffrey S. Simonoff, New York University
“Conditional Inference Survival Trees for Nonstandard Data” - Rodney Sparapani, Medical College of Wisconsin
“Nonparametric Recurrent Events Analysis with BART and an Application to the Hospital Admissions of Patients with Diabetes” - David Vock, University of Minnesota
“Adapting Trees and Other Machine Learning Techniques to Censored Time-to-Event Health Record Data” Denis Larocque, HEC Montréal
“L1 Splitting Rules in Survival Forests”
Room 108
39. Advances in Multi-State Models for Survival and Event History Analysis
- Organizer: Lihui Zhao, Northwestern University
Chair: X. Joan Hu, Simon Fraser University
- Candemir Cigsar, Memorial University of Newfoundland
“Assessment of Dynamic Models for Multi-State Models with Recurrent Events: A copula approach” - Elizabeth Juarez-colunga, University of Colorado Denver
“Analysis of Recurrent Pulmonary Exacerbations in Cystic Fibrosis Children: Early Pseudomonas Infection Control (EPIC) Observational Study” - Lihui Zhao, Northwestern University
“A Semi-Markov Model for Event History Data with Time-Dependent Covariates” Peihua Qiu, University of Florida
“Effective Comparison of Two or More Hazard Rate Functions”
Room 106
40. Advances in the analysis of clinical trials with lifetime data using Restricted Mean Survival Times
Organizer and Chair: Ludovic Trinquart, Department of Biostatistics, Boston University School of Public Health
- Ivan Diaz, Department of Biostatistics and Epidemiology, Weill Cornell Medical College, Cornell University
“Improved Precision in the Analysis of Randomized Trials with Survival Outcomes, without Assuming Proportional Hazards” - Kevin H Eng, Department of Biostatistics and Bioinformatics, Roswell Park Cancer Institute
“Continuous biomarker strategy characterization by restricted mean survival curve” - Lu Tian, Department of Health Research and Policy, Stanford University School of Medicine
“Optimal stratification in outcome prediction using baseline information” Sarah Conner, Department of Biostatistics, Boston University School of Public Health
“Adjusted restricted mean survival times in observational studies”
Room 111
41. New Methods for Censored Data
Organizer and Chair: Bin Nan, University of Michigan at Ann Arbor
- Jong-Hyeon Jeong, University of Pittsburgh
“Semiparametric Regression on Quantile Life Lost: Application to Phase III Breast Cancer Data” - Ying Qing Chen, Fred Hutchinson Cancer Research Center
“Modeling the Trend of Recurrent Event Data with Weak Comparability” - Douglas Schaubel, University of Michigan at Ann Arbor
“Modeling Restricted Mean Survival Time under General Censoring Mechanisms” Ross Prentice, Fred Hutchinson Cancer Research Center
“Self-Consistent Nonparametric Estimation of the Multivariate Survivor Function”
Room 201
42. Recent advances in survival analysis for cancer research
- Organizer: Andy Ni, Memorial Sloan Kettering Cancer Center
Chair: Jianwen Cai, University of North Carolina at Chapel Hill
- Qi Long, Department of Biostatistics, University of Pennsylvania
“Addressing issues associated with evaluating prediction models for survival endpoints based on the concordance statistic” - Glenn Heller, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center
“The concordance probability estimate to assess model performance with survival data” - Noorie Hyun, Division of Cancer Epidemiology and Genetics, National Cancer Institute
“Absolute cause-specific risk calculation from interval-censored electronic health records” Yixin Wang, Fred Hutchinson Cancer Research Center
“Proportional mean residual life model for both incident and prevalent data”
Room 202
43. Risk assessment and prediction with survival data
- Organizer: Jing Ning, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
Chair: Chunyan Cai, Department of Internal Medicine, The University of Texas Health Science Center at Houston
- Xuelin Huang, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
“Using Longitudinal Biomarker Data to Dynamically Predict Time to Disease Progression” - Yingye Zheng, Biostatistics and Biomathematics Program, Fred Hutchinson Cancer Research Center
“Efficient evaluation of the incremental values of novel biomarkers: design and analysis” - Liang Li, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
“On the existence and data generation of landmark Cox model” Ying Ding, Biostatistics Department, University of Pittsburgh
“Progression risk estimation with Copula model in Age-related Macular Degeneration patients”
Room 205
44. Recent development of time-to-event data analysis incorporating disease dynamics
Organizer and Chair: Chen Hu, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine
- Zhi He, University of Michigan, Ann Arbor
“Gateaux differential-based boosting for fitting large-scale survival data with non-proportional hazards” - Bin Zhang, Cincinnati Children’s Hospital Medical Center
“Bayesian approach for clustered interval-censored data with time-varying covariate effects” - Sijin Wen, West Virginia University Health Science Center
“A Bayesian multivariate joint frailty model for disease recurrences and survival” Li C. Cheung, George Washington University
“Concordance Indices for Composite Survival Outcomes”
Room 107
45. Analytical Challenges and New Advances in Assessing Time-to-Event Endpoints in Oncology Studies
Organizer and Chair: Chiung-Yu Huang, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University
- Chen Hu, Johns Hopkins University
“A New Method for Summarizing Treatment Effect on Multiple Endpoints in Hematopoietic Stem Cell Transplantation Studies” - Wei-Ting Hwang, University of Pennsylvania
“Predictive value of continuous markers for censored survival data: a likelihood ratio approach and extension to competing risk framework” - Hongyuan Cao, University of Missouri
“On the proportional hazards model with last observation carried forward covariates” Hongwei Zhao, Texas A&M University
“Improved Survival Analysis in Two Personalized Breast Cancer Studies”
Room 206
46. Analysis of Complex Sampling Designs with Censored Data
Organizer and Chair: Jon Steingrimsson, Department of Biostatistics Johns Hopkins Bloomberg School of Public Health
- Youyi Fong, Vaccine and Infectious Disease Division and Public Health Sciences Division Fred Hutchinson Cancer Research Center
“Calibration Weighted Estimation of Semiparametric Transformation Models for Two-Phase Sampling” - Olli Saarela, Division of Biostatistics University of Toronto
“A New Weighted Partial Likelihood Method for Estimating Marginal Structural Hazard Models” - Takumi Saegusa, Department of Mathematics, University of Maryland
“Survival Analysis under Multiple-Frame Sampling” Andy Ni, Memorial Sloan Kettering Cancer Center
“Tuning Parameter Selection in Cox Proportional Hazards Model with Diverging Number of Parameters”
Room 301
47. Survival analysis for family-clustered data
Organizer and Chair: Niels Keiding, University of Copenhagen
- Frank Eriksson, University of Copenhagen
“Analysis of cluster truncated register data” - Luise Cederkvist, University of Copenhagen & Danish Cancer Society Research Center
“Modelling the cumulative incidence function of multivariate competing risks data while allowing for within-family dependence of risk and timing” - Jeanine Houwing-Duistermaat, Department of Statistics, University of Leeds
“Modelling mortality in long lived families” Discussant: Malka Gorfine, Tel Aviv University, Israel
Room 302
Saturday 1:45-3:30
48. New Statistical Approaches on Medical Data
Organizer and Chair: Mounir Mesbah, Université Pierre et Marie Curie,P6
- Jean-François Dupuy, INSA, Rennes
“Estimation of extreme quantiles of a conditional survival distribution with right-censoring” - Amelie Anota, University Hospital of Besançon
“Time to health related quality of life score deterioration as a tool of longitudinal analyses in oncology: is it the optimal statistical modeling?” - Agathe Guilloux, Université Pierre et Marie Curie, Paris 6
“C-mix: a high dimensional mixture model for censored durations, with applications to biomedical data” Discussant: Mounir Mesbah, Université Pierre et Marie Curie, P6
Room 111
49. Recent Advances in the Analysis of Competing Risks Data
- Organizer: Ronghui (Lily) Xu, University of California, San Diego
Chair: Leilei Zeng, University of Waterloo, Canada
- Arthur Allignol, University of Ulm, Germany
“Estimation of the cumulative incidence function in the presence of dependent left-truncation” - Qing Yang, Duke University
“Sample Size Calculation for Joint Testing of Competing Risk Survival Data” Jelena Bradic, University of California, San Diego
“Inference for Competing Risks in High-Dimensional Settings”
Room 201
50. Bayesian Nonparametric Survival analysis
- Organizer: Lynn Kuo, University of Connecticut
Chair: Victor Hugo Lachos Davila, Campinas State University
- Peter Mueller, University of Texas at Austin
“A Bayesian Nonparametric Approach for Semi-competing Risk” - Athanasios Kottas, University of California, Santa Cruz
“Nonparametric Bayesian modeling for mean residual life regression” - William Cipolli, Colgate College
“Accelerated failure time models via smoothed, approximate Polya trees” Lynn Kuo, University of Connecticut
“Model Selection for Bayesian Nonparametric Survival Models Using Bregman Divergence Measure”
Room 202
51. Recent Developments in complex survival and longitudinal data
Organizer and Chair: Yifei Sun, Johns Hopkins University
- Yize Zhao, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Cornell Medical College, Cornell University
“Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Related to Prostate Cancer Recurrence” - Ming-Yueh Huang, Department of Biostatistics, University of Washington
“Sufficient Dimension Reduction for Censored Survival Data” - Shao-Hsuan Wang, Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University
“Optimal Sufficient Dimension Reduction Score with Censored Survival Data” Yong Chen, Department of Biostatistics and Epidemiology, University of Pennsylvania
“Analysis of Longitudinal Data Under Biased Sampling”
Room 106
52. New developments in modeling longitudinal, recurrent event and survival data
- Organizer: Hong Zhu, Division of Biostatistics, Department of Clinical Sciences, The University of Texas Southwestern Medical Center
Chair: Jing Ning, University of Texas MD Anderson Cancer Center
- Chunyan Cai, Department of Internal Medicine, The University of Texas Health Science Center at Houston
“Time-varying dependence measure of bivariate recurrent event processes” - Sehee Kim, Department of Biostatistics, University of Michigan, Ann Arbor
“Joint partially linear model for longitudinal data with informative drop-outs” - Chi Hyun Lee, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
“Semiparametric regression model for bivariate alternating recurrent event data” Shanshan Li, Department of Biostatistics, Indiana University School of Public Health
“Joint modeling of recurrent event processes and intermittently observed time-varying binary covariate processes”
Room 205
53. Unconventional usage of classic methods in modern medical applications
- Organizer: Yanyuan Ma, Penn State University
Chair: Sibo Zhao, New York University
- Tanya Garcia, Texas A&M University
“Cox regression with exclusion frequency-based weights: application to a neuro-imaging study of Huntington’s disease” - Fei Jiang, University of Hongkong
“A second order semiparametric method for survival analysis, with application to an AIDS clinical trial study” - Ying Liu, Medical College of Wisconsin
“Estimating Personalized Diagnostic Rules Depending on Individualized Characteristics” Shijun Zhu, University of Maryland School of Nursing
“Joint Modeling of Multivariate Longitudinal Data and Recurrent Events and it’s Application”
Room 206
54. Recent topics on analysis of interval censored data (with covariate or outcome censored)
Organizer and Chair: Xiangrong Kong, Johns Hopkins University
- Paul Bernhardt, Villanova University
“A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits” - Jing Qian, Department of Biostatistics and Epidemiology, University of Massachusetts - Amherst
“Regression analysis with randomly censored covariates” - Abdus Sattar, Case Western Reserve University
“A Parametric Survival Model When a Covariate is Subject to Left-Censoring” Qiang Zhao, Texas State University
“Estimation of Survival Function for Interval-censored STD Data with Auxiliary Diaries”
Room 301
55. New Development in Statistical Methods for Deriving and Validating Dynamic and individualized Decision Rules
Organizer and Chair: Yingye Zheng, Fred Hutchinson Cancer Research Center
- Dandan Liu, Department of Biostatistics, Vanderbilt University Medical Center
“Target Population Risk Prediction with Time-to-Event Outcome” - Li Hsu, Department of Biostatistics, Public Health Sciences Division, Fred Hutchinson Cancer Research Center
“Recommendation of when to start intervention: From binary decision to time-to-treatment decision” - Marlena Maziarz, Biostatistics Branch, National Cancer Institute
“Evaluating Longitudinal Markers under Two-phase Study Designs” Yunro Chung, Department of Biostatistics, Public Health Sciences Division, Fred Hutchinson Cancer Research Center
“Estimation of Disease Progression Rate using Longitudinal Surrogate Outcomes in Non-Randomized Validation Subsample”
Room 302
Saturday 3:45-5:30
56. Advances in Semiparametric Regression Analysis of Panel Count Data
Organizer and Chair: Guoqing Diao, Department of Statistics, George Mason University
- Ao Yuan, Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University
“Maximum likelihood estimation and EM algorithms with panel count data” - Xingqiu Zhao, Department of Applied Mathematics, The Hong Kong Polytechnic University
“Semiparametric regression analysis of multivariate longitudinal data with informative observation times” - Bin Yao, FMD K&L Inc
“Joint modeling of panel count data and interval-censored data with application to sexually transmitted infections” Xin He, Department of Epidemiology and Biostatistics, School of Public Health, University of Maryland
“Semiparametric partially linear varying coefficient models with panel count data”
Room 111
57. A Recent Development on Competing and Semi-competing Risks
Organizer and Chair: Qingxia Chen, Department of Biostatistics, Vanderbilt University Medical Center
- Chung-Chou H. Chang, Univeristy of Pittsburgh
“Regression model for data with competing risks under random signs censoring” - Ruosha Li, The University of Texas, Health Science Center at Houston
“Flexible association modelling and prediction with semi-competing risks data” - Yu Cheng, Departments of Statistics and Psychiatry, University of Pittsburgh
“Novel diagnostic accuracy analysis for competing risks outcomes with ROC surface” Ming-Hui Chen, Department of Statistics, University of Connecticut
“A Bayesian Cure Rate Frailty Model for Survival Data in Presence of Semi-competing and Competing Risks”
Room 201
58. Recent Advances on Event History Analysis
Organizer and Chair: Ling Ma, Department of Mathematical Sciences, Clemson University
- Zhigang Zhang, Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center
“A sensitivity study of latent frailty terms in modeling dependence structures in failure time data” - Yifei Sun, Department of Biostatistics, Johns Hopkins University
“Missing Information Principle: A Unified Approach for General Left-Truncated and/or Right-Censored Survival Data Problems” - Ling Ma, Department of Mathematical Sciences, Clemson University
“Joint modeling of longitudinal functional features and discrete time-to-event” Qingning Zhou, Department of Biostatistics, University of North Carolina at Chapel Hill
“Case-cohort studies with interval-censored failure time data”
Room 202
59. Recent Advances in Time-to-Event Analysis with High Dimensional, Heterogeneous, and/or Correlated Data
Organizer and Chair: Elizabeth Schifano, Department of Statistics, University of Connecticut
- Dipak K. Dey, Department of Statistics, University of Connecticut
“A Flexible Cure Rate Model for Spatially Correlated Survival Data Based on Generalized Extreme Value Distribution and Gaussian Process Priors” - Shuangge Steven Ma, Department of Biostatistics, Yale University
“Robust analysis of cancer prognosis data with gene-environment interactions” - Sebastien Haneuse, Department of Biostatistics, Harvard T.H. Chan School of Public Health
“Hierarchical models for semi-competing risks data with application to quality of end-of-life care for pancreatic cancer” Jian Kang, Department of Biostatistics, University of Michigan
“Conditional Screening for Ultrahigh Dimensional Covariates with Survival Outcomes”
Room 205
60. Statistical Innovations for Data Science and Precision Medicine
Organizer and Chair: Yuping Zhang, University of Connecticut
- Xiao-Li Meng, Harvard University
“Personalized Treatment: Sounds heavenly, but where on Earth did they find the right guinea pig for me?” - Jun Xie, Purdue University
“New Statistical Methods of Large-Scale Inference with Applications on Genomics Data for Precision Medicine” - Haiqun Lin, Yale University
“Mediation Analysis with Latent Class Mediators” Zhengqing Ouyang, The Jackson Laboratory for Genomic Medicine
“Statistical Modeling of Genome-wide Chromatin Interaction Data to Elucidate Spatial Organizations of Genomes”
Room 206
61. Risk prediction in Survival Analysis
Organizer and Chair: Qian (Michelle) Zhou, Mississippi State University, USA
- Joel Dubin, University of Waterloo, Canada.
“Similarity-based time-to-event prediction” - Yan Yuan, School of Public Health, University of Alberta, Canada.
“A Threshold-free Prospective Prediction Accuracy Measure for Censored Time to Event Data” Jessica Minnier, OHSU-PSU School of Public Health, Oregon Health & Science University, USA.
“Automated Feature Selection for Prediction with Electronic Medical Records Data”
Room 301
62. Methods and Applications of Recurrent Event or Panel Count Data
Organizer and Chair: Jun Yan, Department of Statistics, University of Connecticut
- Steven Chiou, Harvard University
“Semiparametric regression scale-change model for panel count data with information observation times” - Gongjun Xu, School of Statistics, University of Minnesota
“Joint scale-change models for recurrent events and failure time” - Ran Duan, Diabetes Business Unit, Eli Lilly and Company
“Estimate variable importance for recurrent event outcomes with an application to identify hypoglycemia risk factors” Discussant: Haim Bar, Department of Statistics, University of Connecticut
Room 302
63. Statistical Challenges for immunotherapy with Delayed Treatment Effects
Organizer and Chair: Alan Chiang, Eli Lilly and Company
- Tianle Hu, Eli Lilly and Company
“What do we learn from non-proportional hazard in PD-(L)1 Trials?” - Wen Zhou, Novartis
“Statistical challenges in quantitation of clinical benefits of immunotherapeutic drugs” - Zhenzhen Xu, FDA
“Designing therapeutic cancer vaccine trials with random delayed treatment effect” Alan Chiang, Eli Lilly and Company
“Practical considerations for delayed treatment effects in clinical trials”
Room 106