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Keyword Search Criteria: Hazards returned 25 record(s)
Sunday, 07/28/2019
Two-Stage Residual Inclusion Under the Additive Hazards Model - an Instrumental Variable Approach with Application to SEER-Medicare Linked Data
Andrew Ying, University of California, San Diego; Ronghui Xu, University of California, San Diego; James Murphy, University of California, San Diego


Semiparametric Estimation of Continuous-Time Structural Failure Time Model
Shu Yang, North Carolina State University
2:05 PM

Two-Stage Residual Inclusion Under the Additive Hazards Model - an Instrumental Variable Approach with Application to SEER-Medicare Linked Data
Andrew Ying, University of California, San Diego; Ronghui Xu, University of California, San Diego; James Murphy, University of California, San Diego
2:10 PM

Penalized Empirical Likelihood for the Sparse Cox Model
Dongliang Wang, SUNY Upstate Medical University; Tong Tong Wu, University of Rochester; Yichuan Zhao, Georgia State University
5:20 PM

Monday, 07/29/2019
Bayesian Survival Analysis with Missing Covariate Values; an Application to Breast Cancer Data
Refah Alotaibi, Princess Nourah bint Abdulrahman University; Juliana Iworikumo Consul, Niger Delta University, Bayelsa State, Nigeria


Improvement of the Accuracy in Testing the Effect in the Cox Proportional Hazards Model Using Higher Order Approximations
Silvie Belaskova, Fakultni Nemocnice U Sv. Anny V Brne; Eva Fiserova, St. Anne’s University Hospital Brno, Czech Republic; Jay Mandrekar, Mayo Clinic, Rochester MN, USA


Bayesian Analysis of Mixed Continuous and Time-To-Event Outcomes with Latent Variables
Xinyuan Song, The Chinese University of Hong Kong; Deng Pan, Huazhong University of Science and Technology


Characterization of Spatial and Temporal Trends of Extreme Precipitation Using Functional Principal Component Analysis
Miyabi Ishihara, UC Berkeley; Christopher Paciorek, University of California; Mark Risser, Lawrence Berkeley National Laboratory; Michelle Yu, University of California, Berkeley


Survival Analysis in the Absence of Proportional Hazards: Defining the Relevant Null Hypothesis
Steven Snapinn, Alder Biopharmaceuticals; Qi Jiang, Seattle Genetics
8:50 AM

Bayesian Analysis of Mixed Continuous and Time-To-Event Outcomes with Latent Variables
Xinyuan Song, The Chinese University of Hong Kong; Deng Pan, Huazhong University of Science and Technology
9:40 AM

Robust Clinical Trial Design and Analysis When Non-Proportional Hazards Are Likely
Keaven Anderson, Merck & Company, Inc.
9:55 AM

A Semiparametric Approach to Analyzing Error-Prone Failure Time Outcomes and Exposures
Lillian Boe, University of Pennsylvania; Pamela Shaw, University of Pennsylvania
11:05 AM

Characterization of Spatial and Temporal Trends of Extreme Precipitation Using Functional Principal Component Analysis
Miyabi Ishihara, UC Berkeley; Christopher Paciorek, University of California; Mark Risser, Lawrence Berkeley National Laboratory; Michelle Yu, University of California, Berkeley
11:10 AM

Bayesian Optimality of Testing Procedures for Survival Data in the Non-Proportional Hazards Setting
Andrea Arfè; Lorenzo Trippa, Dana-Farber Cancer Institute; Brian Alexander, Dana-Farber Cancer Institute
2:35 PM

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

Tuesday, 07/30/2019
Cox and Aalen Models in Action – a Series of Case Studies from Clinical Epidemiology
Susanne Strohmaier, CeMSIIS, Medical University of Vienna; Heinze Georg, CeMSIIS, Medical University of Vienna


Sieve Maximum Likelihood Method for Interval-Censored Data with Missing Covariates Under Proportional Hazards Model
Ruiwen Zhou, University of Missouri-Columbia; Huiqiong Li, Yunnan University; (Tony) Jianguo Sun, University of Missouri


Distribution-Free Threshold Regression for Time-To-Event Analysis
Mei-Ling Ting Lee, University of Maryland; George A Whitmore, McGill University
9:35 AM

Sieve Maximum Likelihood Method for Interval-Censored Data with Missing Covariates Under Proportional Hazards Model
Ruiwen Zhou, University of Missouri-Columbia; Huiqiong Li, Yunnan University; (Tony) Jianguo Sun, University of Missouri
11:30 AM

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

Wednesday, 07/31/2019
Infinite Parameter Estimates in Proportional Hazards Regression
John E Kolassa, Rutgers, the State University of New Jersey; Juan Zhang, Allergan Pharmaceuticals


Smoothed Change-Point Renewal Process Framework for Modeling Hazards of Pulmonary Exacerbations in Cystic Fibrosis
Rachel Johnson, Colorado School of Public Health; Elizabeth Juarez-Colunga, University of Colorado Denver; John Rice, Colorado School of Public Health; Brandie Wagner, Colorado School of Public Health; Edith Zemanick, University of Colorado School of Medicine and Children’s Health Colorado; Margaret Rosenfeld, Seattle Children's Hospital


Designing Cancer Immunotherapy Trials with Complex Survival Patterns
Zhenzhen Xu , FDA; BIN ZHU, NIH/NCI; YONGSOEK PARK, University of Pittsburg, Department of Biostatistics
8:55 AM

Novel Joint Models for Identifying Determinants of Cognitive Decline in the Presence of Informative Drop-Out and Observation Times
Kendra Plourde
2:50 PM

Thursday, 08/01/2019
A Simple and Fast Divide-And-Conquer Approach in Multivariate Survival Analysis
Wei Wang, Rutgers University Department of Biostatistics and Epidemiology; Shou-En Lu, Rutgers University Department of Biostatistics and Epidemiology; Jerry Q. Cheng, Rutgers University Office of Advanced Research Computing
9:50 AM