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Keyword Search Criteria: Survival returned 140 record(s)
Sunday, 07/29/2018
Flexible Accelerated Failure Time Model in Survival Analysis
Menglan Pang, McGill University; Michal Abrahamowicz, McGill University; Robert W Platt, McGill University


Inference for Fine-Gray Competing Risks Model with High-Dimensional Covariates
Jue Hou, UCSD Biostatistics; Jelena Bradic, UC San Diego; Ronghui Xu, UC San Diego


Temporally Dependent Accelerated Failure Time Model for Capturing the Impact of Events That Alter Survival in Disease Mapping
Rachel Carroll, National Institute of Environmental Health Sciences; Andrew B Lawson, Medical University of South Carolina ; Shanshan Zhao, National Institute of Environmental Health Sciences


An Innovative Approach to Identify Biomarker Signatures for Cancer Genetic Data with Survival Endpoints
Ming Wang, Pennsylvania State University; Zheng Li, Penn State Unviersity


Survival Analysis Methods for Characterizing B-Cell Mutation Processes
David A. Shaw, Fred Hutchinson Cancer Research Center; Jean Feng, University of Washington; Vladimir N. Minin, University of California, Irvine; Noah Simon, University of Washington; Erick A. Matsen, Fred Hutchinson Cancer Research Center


Competing Risks Matter in the Analysis of Public Health Data: When and How?
Dahhay Lee, National Cancer Center; Hyunsoon Cho, National Cancer Center


Flexible and Interpretable Models for Survival Data
Jiacheng Wu, Univesity of Washington; Daniela Witten, University of Washington


A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinally Measured Marker
Krithika Suresh, University of Michigan; Jeremy M.G. Taylor, University of Michigan; Alexander Tsodikov, University of Michigan


Regression Calibration to Address Error Prone Time-To-Event Outcomes
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania


Adjusting for Covariate Measurement Error in Failure Time Analysis Under Competing Risks
Carrie Caswell, University of Pennsylvania; Sharon X Xie, University of Pennsylvania


Matching Methods for Evaluating the Effect of a Time-Dependent Treatment on the Survival Function
Danting Zhu, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor


Sample Size Calculations for Non-Inferiority Trials Using the Concept of Proportional Time
Milind A Phadnis, University of Kansas Medical Center


Regression Calibration to Address Error Prone Time-To-Event Outcomes
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
2:05 PM

A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinally Measured Marker
Krithika Suresh, University of Michigan; Jeremy M.G. Taylor, University of Michigan; Alexander Tsodikov, University of Michigan
2:10 PM

Adjusting for Covariate Measurement Error in Failure Time Analysis Under Competing Risks
Carrie Caswell, University of Pennsylvania; Sharon X Xie, University of Pennsylvania
2:15 PM

Statistical Development in Addressing Delayed Treatment Effect or Crossing Survival Curves in Immuno-Oncology Clinical Trials
Huyuan Yang, Takeda Oncology Pharmaceutical
2:20 PM

Optimal Timing of Stem Cell Transplant for Leukemia Patients
Xuelin Huang, University of Texas MD Anderson Cancer Center; Ruosha Li, University of Texas School of Public Health; Jorge Cortes, University of Texas MD Anderson Cancer Center
2:25 PM

Flexible and Interpretable Models for Survival Data
Jiacheng Wu, Univesity of Washington; Daniela Witten, University of Washington
2:30 PM

An Adaptive Test of Significance in the Presence of Uncertainty in the Timing of the Final Analysis
Jeremy Gorelick, Edwards Lifesciences
2:35 PM

Cure Survival Data in Oncology Studies
Shih-Yuan Lee, Takeda
2:35 PM

Temporally Dependent Accelerated Failure Time Model for Capturing the Impact of Events That Alter Survival in Disease Mapping
Rachel Carroll, National Institute of Environmental Health Sciences; Andrew B Lawson, Medical University of South Carolina ; Shanshan Zhao, National Institute of Environmental Health Sciences
2:45 PM

An Innovative Approach to Identify Biomarker Signatures for Cancer Genetic Data with Survival Endpoints
Ming Wang, Pennsylvania State University; Zheng Li, Penn State Unviersity
2:50 PM

Survival Analysis Methods for Characterizing B-Cell Mutation Processes
David A. Shaw, Fred Hutchinson Cancer Research Center; Jean Feng, University of Washington; Vladimir N. Minin, University of California, Irvine; Noah Simon, University of Washington; Erick A. Matsen, Fred Hutchinson Cancer Research Center
3:00 PM

Competing Risks Matter in the Analysis of Public Health Data: When and How?
Dahhay Lee, National Cancer Center; Hyunsoon Cho, National Cancer Center
3:05 PM

Correlation Between the Time-To-Event Endpoints in Prostate Cancer Clinical Trials
Susan Li, Janssen R&D
3:05 PM

Inference for Fine-Gray Competing Risks Model with High-Dimensional Covariates
Jue Hou, UCSD Biostatistics; Jelena Bradic, UC San Diego; Ronghui Xu, UC San Diego
3:15 PM

Semiparametric Regression Methods for Temporal Processes Subject to Multiple Sources of Censoring
Douglas E. Schaubel, University of Michigan, Ann Arbor; Tianyu Zhan, AbbVie Inc.
3:25 PM

Sample Size Calculations for Non-Inferiority Trials Using the Concept of Proportional Time
Milind A Phadnis, University of Kansas Medical Center
3:25 PM

Matching Methods for Evaluating the Effect of a Time-Dependent Treatment on the Survival Function
Danting Zhu, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor
3:45 PM

Robust Modeling of Survival Curves in the Presence of Time-Varying Effects
Jorne Biccler, Aalborg University Hospital; Tim Verdonck, KU Leuven; Stefan Van Aelst, KU Leuven; Martin Bøgsted, Aalborg University
4:05 PM

Kaplan-Meier Based Methods to Address Non-Proportional Hazard Issues
Bo Huang, Pfizer Inc.
4:05 PM

Design and Analysis of Survival Trials with Treatment Crossover
Xiaodong Luo, Sanofi
4:25 PM

A Hybrid Approach for Prediction of Event Times in Double-Blind Clinical Trials
Ming Zhu, Sanofi Pasteur; Yunnan Xu, Virginia Tech; Zheng Su, Deerfield Institute
5:05 PM

An Approach to Predict Final Yield Among Interim Cases
Rui Jiao, Westat; Andrea Piesse, Westat
5:20 PM

Monday, 07/30/2018
SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting
Emily Morris, University of Michigan; Jian Kang, University of Michigan; Zhi He, University of Michigan; Yanming Li, University of Michigan; Yi Li, University of Michigan


Median Regression for Clustered, Interval Censored Data
Piyali Basak, Florida State University; STUART LIPSITZ, HARVARD MEDICAL SCHOOL; Debajyoti Sinha, Florida State University


Nonparametric Testing for Multiple Survival Functions with Non-Inferiority Margins
Hsin-wen Chang, Academia Sinica; Ian W. McKeague, Columbia University


Comparisons of Modeling Methods on Longitudinal and Survival Data: Identifying Use of Repeat Biomarker Measurements to Predict Time-To-Event Outcome in Cancer Research
Meng Ru, Icahn School of Medicine at Mount Sinai; Erin Moshier, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai


Quantile-Optimal Treatment Regimes with Censored Data
Yu Zhou, University of Minnesota; Lan Wang, University of Minnesota; Rui Song, North Carolina State University


Survival Analysis Using Intensive Longitudinal Data and Irregular Moments of Reporting
Trent Lalonde, Applied Statistics Program, University of Northern Colorado; Kristina T Phillips, University of Northern Colorado; Michael M Phillips, University of Northern Colorado


A Comparison of Methods to Estimate Survival Curves Under Time-Varying Treatments
Lucia C. Petito, Harvard T.H. Chan School of Public Health; Sonja A. Swanson, Erasmus Medical Center; Miguel Hernan, Harvard School of Public Health


A Bayesian Semiparametric Joint Model for Longitudinal and Survival Data
Pengpeng Wang, Florida State University; Jonathan R. Bradley, Florida State University; Elizabeth H. Slate, Florida State University


Modeling a Longitudinal Covariate as Continuous Time Markov Chain in a Survival Framework
Ting-Yu Chen, The University of Texas Health Science Center at Houston; Wenyaw Chan, University of Texas Health Science Center at Houston; Qiuling Shi, The University of Texas MD Anderson Cancer Center; Xin Shelley Wang, The University of Texas MD Anderson Cancer Center; Charles Cleeland, The University of Texas MD Anderson Cancer Center


Assessing Therapeutic Equivalence of Brand and Generic Drugs Using Observational Data
Lamar Hunt, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Daniel Scharfstein, Johns Hopkins University; Irene Murimi, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Jodi Segal, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Ravi Varadhan, Johns Hopkins University; Ramin Mojtabai, Johns Hopkins Bloomberg SPH


Quantile-Optimal Treatment Regimes with Censored Data
Yu Zhou, University of Minnesota; Lan Wang, University of Minnesota; Rui Song, North Carolina State University
9:15 AM

Instrumental Variable Methods for Comparing Cancer Survival Outcomes
Fei Wan, University of Arkansas for Medical Sciences; Dylan Small, University of Pennsylvania; Nandita Mitra, University of Pennsylvania
9:35 AM

Comparison of Event Rates Between On- and Off-Drug Treatment Periods for a Recurrent Adverse Event
Brenda Crowe, Eli Lilly & Co.; Haoda Fu, Eli Lilly and Company; Yebin Tao, Eli Lilly and Company
9:35 AM

Survival Analysis Applied to Agricultural Sciences
Jung Ae Lee, University of Arkansas Agriculture Statistics Laboratory
9:35 AM

Left-Censored Data: the Orphan Child of Survival Analysis
Brenda Gillespie, Univ of Michigan
9:50 AM

Closed-Form Solutions for Group Sequential Design in Survival Trials with Non-Proportional Hazards
Jianliang Zhang, Medimmune, LLC; Erik Pulkstenis, AbbVie
10:05 AM

A Comparison of Methods to Estimate Survival Curves Under Time-Varying Treatments
Lucia C. Petito, Harvard T.H. Chan School of Public Health; Sonja A. Swanson, Erasmus Medical Center; Miguel Hernan, Harvard School of Public Health
10:45 AM

Modeling a Longitudinal Covariate as Continuous Time Markov Chain in a Survival Framework
Ting-Yu Chen, The University of Texas Health Science Center at Houston; Wenyaw Chan, University of Texas Health Science Center at Houston; Qiuling Shi, The University of Texas MD Anderson Cancer Center; Xin Shelley Wang, The University of Texas MD Anderson Cancer Center; Charles Cleeland, The University of Texas MD Anderson Cancer Center
10:45 AM

A Bayesian Semiparametric Joint Model for Longitudinal and Survival Data
Pengpeng Wang, Florida State University; Jonathan R. Bradley, Florida State University; Elizabeth H. Slate, Florida State University
11:00 AM

Variable Selection in Partially Linear Additive Hazards Model with Grouped Covariates and a Diverging Number of Parameters
Xuewen Lu, University of Calgary; Arfan Afzal, University of Calgary
11:15 AM

Comparisons of Modeling Methods on Longitudinal and Survival Data: Identifying Use of Repeat Biomarker Measurements to Predict Time-To-Event Outcome in Cancer Research
Meng Ru, Icahn School of Medicine at Mount Sinai; Erin Moshier, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
11:15 AM

Survival Analysis Using Intensive Longitudinal Data and Irregular Moments of Reporting
Trent Lalonde, Applied Statistics Program, University of Northern Colorado; Kristina T Phillips, University of Northern Colorado; Michael M Phillips, University of Northern Colorado
11:40 AM

Assessing Therapeutic Equivalence of Brand and Generic Drugs Using Observational Data
Lamar Hunt, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Daniel Scharfstein, Johns Hopkins University; Irene Murimi, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Jodi Segal, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Ravi Varadhan, Johns Hopkins University; Ramin Mojtabai, Johns Hopkins Bloomberg SPH
12:10 PM

Nonparametric Generalized Fiducial Inference for Survival Functions Under Censoring
Yifan Cui, University of North Carolina at Chapel Hill; Jan Hannig, University of North Carolina
2:05 PM

Considering Delayed Treatment Effect in Trial Designs with Survival Endpoints
Kaushal Mishra, Novartis Oncology Pharmaceuticals; Kalyanee Viraswami Appanna, Novartis Pharmaceuticals
2:20 PM

Are Tumor Size Changes Predictive of Survival for Immunotherapy Trials?
Meihua Wang, Merck & Co.; Thomas Jemielita, Merck & Co.; Cong Chen, Merck & Co.; Chen Hu, Johns Hopkins University
2:35 PM

Does Phase 2 PFS or ORR Predict Phase 3 OS?
Russell Reeve, Quintiles
2:50 PM

Goodness-of-Fit Tests in Proportional Hazards Models with Random Effects
Ingrid Van Keilegom, KU Leuven; Wenceslao Gonzalez Manteiga, University of Santiago de Compostela; Maria Dolores Martinez Miranda, University of Granada
2:55 PM

Joint Modeling of Length-Biased and Competing Risks Survival Times with View Toward Individualized Prediction: An Application to Spontaneous Labor
Rajeshwari Sundaram, Eunice Kennedy SHriver National Institute of Child Health and Human Development; Ling Ma, Clemson University
3:20 PM

Penalized Shrinkage Estimation in Reduced-Rank Time-To-Event Data
Ananda Sen, University of Michigan
3:25 PM

Tuesday, 07/31/2018
Generating Survival Times Using Cox Proportional Hazards Models with Cyclic Time-Varying Covariates
Yunda Huang, Fred Hutchinson Cancer Research Center; Lily Zhang, Fred Hutchinson Cancer Research Center; Zong Zhang, Interlake High School; Peter Gilbert, Fred Hutchinson Cancer Research Center


On Survival Tree Under the Dependency Between Failure and Censoring
Asanao Shimokawa, Tokyo University of Science; Etsuo Miyaoka, Tokyo University of Science


Firth Adjustment for Parametric Current-Status Survival Analysis
Hung-Mo Lin, Icahn School of Medicine at Mount Sinai; JOHN M WILLIAMSON, Centers for Disease Control and Prevention; HAE-YOUNG KIM, New York Medical College


Proteomics and Genomics Integration and Ovarian Cancer Survival
Umut Ozbek, Icahn School of Medicine at Mount Sinai; Christopher Conley, University of California at Davis; Jie Peng, UC Davis; Pei Wang, Icahn School of Medicine at Mount Sinai


Determination of Optimal Cut-Off Points for Biomarkers in Oncology Research
Shu-Pang Huang, Bristol-Myers Squibb Co.; Tian Chen, Bristol-Myers Squibb Co.; Ye Feng, Bristol-Myers Squibb Co.; Ming Zhou, Bristol-Myers Squibb Company; Ramachandran Suresh, Bristol-Myers Squibb Co.


Method for Evaluating Longitudinal Follow-Up Frequency: Application to Dementia Research
Leah Suttner, University of Pennsylvania; Sharon X Xie, University of Pennsylvania


A Machine Learning (ML) Approach to Prognostic and Predictive Covariate Identification for Subgroup Analysis and Hypotheses Generation
David A James, Novartis


Supervised Dimension Reduction for Large-Scale Genomic Data with Censored Survival Outcomes Under Possible Non-Proportional Hazards
Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center


Model Validation of Time-To-Event Analyzes via the Concordance Statistic
Samantha-Jo Caetano, McMaster University


Explore Modified Organ Dysfunction Score System to Improve the Prediction of Survival
Grace Zhang, GSK


Correcting for Errors in Variables Derived from Electronic Health Records Using Validation Sampling and Multiple Imputation
Bryan E Shepherd, Vanderbilt University School of Medicine; Mark Giganti, Vanderbilt University School of Medicine
8:35 AM

Model Validation of Time-To-Event Analyzes via the Concordance Statistic
Samantha-Jo Caetano, McMaster University
8:40 AM

On the Use of Raking to Improve Regression Calibration: A Flexible Method to Address Error-Induced Bias Efficiently
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
9:00 AM

Systematic Review of Test/Estimation Approach in Comparative Cancer Clinical Studies with Time-To-Event Outcomes
Miki Horiguchi, Kitasato University; Hajime Uno, Dana Farber Cancer Institute
9:05 AM

Explore Modified Organ Dysfunction Score System to Improve the Prediction of Survival
Grace Zhang, GSK
9:05 AM

Design Considerations in Clinical Trials with Cure Rate Survival Data: a Case Study in Oncology
Grace Liu, Johnson & Johnson; Steven Sun, J&J; Tzu-min Yhe, janssen pharmaceuticals; Tianmeng Lyu, University of Minnesota; Rao Sudhakar, janssen pharmaceuticals; Bruce Xue, Johnson & Johnson China
9:20 AM

Using Survival Analysis to Address Attrition and Vacancy Rates at the Food Safety and Inspection Service
Sarah McMillan, Food Safety and Inspection Service / USDA; Anna Frey, Food Safety and Inspection Service / USDA
9:20 AM

Multivariate Meta-Analysis Model for the Difference in Restricted Mean Survival Times
Isabelle R Weir, Boston University School of Public Health; Ludovic Trinquart, Boston University School of Public Health
9:35 AM

Method for Evaluating Longitudinal Follow-Up Frequency: Application to Dementia Research
Leah Suttner, University of Pennsylvania; Sharon X Xie, University of Pennsylvania
9:35 AM

On the Asymptotics of Tree-Based Survival Models
Ruoqing Zhu, University of Illinois Urbana-Champaign; Yifan Cui, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill; Mai Zhou, University of Kentucky
9:55 AM

Semiparametric Single-Index Models for Optimal Treatment Regimes with Censored Outcomes
Jin Wang, University of North Carolina at Chapel Hill; Danyu Lin, University of North Carolina; Donglin Zeng, UNC Chapel Hill
10:35 AM

Supervised Dimension Reduction for Large-Scale Genomic Data with Censored Survival Outcomes Under Possible Non-Proportional Hazards
Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center
11:00 AM

Limitations of Progression Free Survival as a Surrogate Marker for Overall Survival in Oncology Trials
Robin Mogg, Merck Research Laboratories; Yiwei Zhang, Merck Research Laboratories
11:15 AM

Modeling Overall Survival Under Immuno-Oncology Therapies with Long-Term Survival Models
Junshui Ma, Merck & Co., Inc.; Keaven Anderson, Merck & Co., Inc.
11:35 AM

A Machine Learning (ML) Approach to Prognostic and Predictive Covariate Identification for Subgroup Analysis and Hypotheses Generation
David A James, Novartis
11:35 AM

Identifying and Validating Surrogate Endpoints for Overall Survial (OS) in Metastatic Castration-Resistant Prostate Cancer
Xiaowei Guan, Pfizer, Inc.; Michelle Casey, Pfizer, Inc.; De Phung, Astellas Pharma, Inc. ; Suha Sari, Pfizer, Inc.; Eren Demirhan, Pfizer, Inc.
11:35 AM

Restricted Mean Survival Time as a Function of Restriction Time
Yingchao Zhong, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor
11:50 AM

Maximum Likelihood Estimation of First-Passage Structural Credit Risk Models Correcting for the Survivorship Bias
Mathieu Boudreault, Université du Québec à Montréal; Diego Amaya, Wilfrid Laurier University; Don L. McLeish, University of Waterloo
2:05 PM

The Role of Body Mass Index at Diagnosis on Black-White Disparities in Colorectal Cancer Survival: a Density Regression Mediation Approach
Katrina Devick, Harvard TH Chan School of Public Health; Linda Valeri, McLean Hospital, Harvard Medical School; Jarvis Chen, Harvard TH Chan School of Public Health; Alejandro Jara, Pontificia Universidad Catolica de Chile; Marie-Abele Bind, Harvard University; Brent A. Coull, Harvard TH Chan School of Public Health
2:05 PM

Measuring Association Between Times from Treatment Initiation to Viral Failure and Regimen Change in HIV-Infected Persons
Svetlana K. Eden, Vanderbilt University School of Medicine; Bryan E Shepherd, Vanderbilt University School of Medicine; Chun Li, Case Western Reserve University, Institute for Computational Biology
2:25 PM

Assessing Sensitivity to Unmeasured Confounding with Multiple Treatments and a Binary or Survival Outcome: A Bayesian Approach
Liangyuan Hu, Icahn School of Medicine at Mount Sinai; Chenyang Gu, Harvard Medical School; Michael Lopez , Skidmore College
2:30 PM

Development of a Processed Cheese Food Safety Model Using a Response Surface Design and Parametric Survival Modeling
Francis Rossi, PepsiCo
2:45 PM

A G-Formula Estimator for Performing Causal Mediation Analysis with Survival Outcomes: Investigating the Relationship Between Statins, Cholesterol and Cardiovascular Diseases
Denis Talbot, Universite Laval; Joseph A Delaney, University of Washington School of Public Health; Veit Sandfort, National Institutes of Health; David M Herrington, Heart and Vascular Center of Excellence; Robyn L McClelland, University of Washington School of Public Health
2:50 PM

Simulation-Selection-Extrapolation Estimator for High-Dimensional Errors-In-Variables Models
Linh Nghiem, Southern Methodist University; Cornelis Potgieter, Southern Methodist University
2:50 PM

A Nonlinear Model for Censored and Mis-Measured Time-Varying Covariates in Survival Models, with Applications in HIV/AIDS Studies
Hongbin Zhang, City University of New York, School of Public Health; Lang Wu, University of British Columbia
2:50 PM

Dynamic Prediction for Patients with High-Grade Extremity Soft Tissue Sarcoma
Anja Rueten-Budde, Leiden University; Marta Fiocco, Leiden University
2:50 PM

Analysis of Stratified Clinical Trials with Time-To-Event Endpoints
Devan V Mehrotra, Merck & Co., Inc.; Shanjun Helian, Merck & Co., Inc.; Shu-Chih Su, Merck Research Labs
3:05 PM

Penalized Survival Models for the Analysis of Alternating Recurrent Event Data
Lili Wang, University of Michigan, Ann Arbor; Zhi He, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor
3:05 PM

A General Class of Weighted Semiparametric Models for Recurrent Event Data
Russell Stocker, Indiana University of Pennsylvania; Akim Adekpedjou, Missouri University of Science and Technology
3:20 PM

Incorporating Auxiliary Information by Joint Modeling of Pseudo Data and Length Biased Data
Yidan Shi, University of Waterloo; Leilei Zeng, University of Waterloo; Mary E. Thompson, University of Waterloo; Suzanne Tyas, University of Waterloo
3:20 PM

Wednesday, 08/01/2018
Statistical Methods to Associate Intra-Tumor Heterogeneity with Clinical Outcomes
Paul Little, UNC Chapel Hill; Danyu Lin, University of North Carolina; Wei Sun, Fred Hutchinson Cancer Research Center


The Impact of Analysis Method and Model Specification for Handling Missing Covariate Data in Survival Analysis: a Case Study
Evon Okidi, Brown University; Joseph W Hogan, Brown University School of Public Health; Chanelle Howe, Brown University


Causal Inference for Infectious Disease Interventions in Networks
Xiaoxuan Cai, Yale University; Forrest W Crawford, Yale School of Public Health


Incidence, Latency, and Survival of Cancer After World Trade Center Exposure: Implementing a Large Epidemiologic Study Involving Many Data Sources
Charles B Hall, Albert Einstein College of Medicine; Rachel Zeig-Owens, Albert Einstein College of Medicine; Amy R. Kahn, Bureau of Cancer Epidemiology, New York State Department of Health; James Cone, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Jiehui Li, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Mark Farfel, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Robert Brackbill, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Paolo Boffetta, Icahn School of Medicine at Mount Sinai


A Nonlinear Model for Truncated and Mismeasured Time-Varying Covariates in Joint Models for Longitudinal and Survival Data
Lang Wu, University of British Columbia
8:35 AM

Predicting the Timing of the Final Event by Fitting B Splines to Poisson Intensity Rates
Marcus Sobel, Temple Universisity; Ibrahim Turkoz, Janssen Research and Development, LLC
8:35 AM

Cox Regression Model Under Dependent Truncation with Applications to Studies of Neurodegenerative Diseases
Lior Rennert, Clemson University; Sharon X Xie, University of Pennsylvania
8:35 AM

Bayesian Semiparametric Threshold Regression
Jonathan Race; Michael Pennell, Ohio State University
8:55 AM

Semiparametric Estimation of the Cure Fraction in Population-Based Cancer Survival Analysis
Ennan Gu, University of South Carolina; Jiajia Zhang, University of South Carolina
9:05 AM

Multiply Imputing Missing Values Arising by Design in Transplant Survival Data
Robin Mitra, University of Lancaster
9:05 AM

Improve Risk Prediction Model Estimation with Longitudinal Surrogate Markers
Yu Zheng, Harvard T.H. Chan School of Public Health; Tianxi Cai, Harvard T.H. Chan School of Public Health; Lu Tian, Stanford University School of Medicine
9:15 AM

Estimating Personal Cure in Colorectal Cancer Patients Using the SEER Data
Margaret Stedman, Stanford Univ
9:20 AM

Causal Inference for Infectious Disease Interventions in Networks
Xiaoxuan Cai, Yale University; Forrest W Crawford, Yale School of Public Health
9:30 AM

Censored Threshold Regression with Diverging Number of Covariates
Takumi Saegusa, University of Maryland; Mei-Ling Ting Lee, University of Maryland
9:35 AM

Incidence, Latency, and Survival of Cancer After World Trade Center Exposure: Implementing a Large Epidemiologic Study Involving Many Data Sources
Charles B Hall, Albert Einstein College of Medicine; Rachel Zeig-Owens, Albert Einstein College of Medicine; Amy R. Kahn, Bureau of Cancer Epidemiology, New York State Department of Health; James Cone, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Jiehui Li, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Mark Farfel, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Robert Brackbill, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Paolo Boffetta, Icahn School of Medicine at Mount Sinai
9:40 AM

Genome-Wide Gaussian Process Regression for Survival Time Prediction
Aaron J. Molstad, Fred Hutchinson Cancer Research Center; Wei Sun, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
9:50 AM

Assessment of Treatment Effect on Overall Survival in the Presence of Treatment Switching: a Bridging Approach Across Various Modeling Methods
Yiyun Tang, Pfizer, Inc.; Selaru Paulina, Pfizer Inc.; Xin Huang, Pfizer Inc.
10:05 AM

PROFILE MM ALGORITHMS for GAMMA FRAILTY MODELS
Xifen Huang, University of Hong Kong; jinfeng Xu, The University of Hong Kong
10:05 AM

A Functional Proportional Hazards Model for Investigating the Gene-Environment Interaction Effects on Survival
Li Luo, University of New Mexico
10:05 AM

Analysis of Lethal Cancer Among a Cohort of Initially Disease-Free Women
Bernard Rosner, Harvard Medical School; Elizabeth Poole, Sanofi
10:35 AM

Time-To-Event Data with Time-Varying Biomarkers Measured Only at Study Entry, with Applications to Alzheimer's Disease
Catherine Lee, Kaiser Permanente Division of Research; Rebecca A. Betensky, Harvard School of Public Health
10:50 AM

Estimating the Optimal Number and Location of Cut Points in Survival Analysis
Chung Chang, National Sun Yat-sen University
11:05 AM

Transformed Dynamic Quantile Regression on Censored Data
Tony Sit, The Chinese University of Hong Kong; Gongjun Xu, University of Michigan; Chi Wing George Chu, Columbia University
11:20 AM

Group Sequential Tests of Treatment Effect on Survival and Cumulative Incidence at a Fixed Time Point
Michael Martens, The Emmes Corporation; Brent Logan, Medical College of Wisconsin
11:35 AM

Improving Testing and Description of Treatment Effect in Clinical Trials with Time-To-Event Outcomes
Song Yang, NHLBI/NIH
11:50 AM

Display Advertising: Estimating Conversion Probability Efficiently
Abdollah Safari, Simon Fraser University; Rachel MacKay Altman, Simon Fraser University; Thomas Loughin, Simon Fraser University
2:35 PM

Thursday, 08/02/2018
Those Who Escaped Must Be Captured: Deconstructing Phylogenies and Transmission Trees in Infectious Disease Epidemiology
Eben Kenah, The Ohio State University School of Public Health
8:55 AM

Adjusting for Handling Effects in Microarray Data for Prognostic Biomarker Discovery and Survival Risk Prediction
Ai Ni, Memorial Sloan Kettering Cancer Center; Mengling Liu, New York University; Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
9:05 AM

Evaluation of Statistical Methods for Survival Analysis with Time-Dependent Variables
Chris Holland, Amgen; Qui Tran, Amgen; Cassie Dong, Amgen
9:20 AM

Frailty Model for Time-To-Event Data on a Social Network
Fangda Song, The Chinese University of Hong Kong; Jing Chu, University of Michigan; Yingying Wei, The Chinese University of Hong Kong
9:20 AM

Treatment Heterogeneity and Treatment Eligibility Estimations Using Random Forest Methods
Min Lu, University of Miami; Eugene H. Blackstone, Cleveland Clinic; Hemant Ishwaran, University of Miami
9:35 AM

Yakovlev Promotion Time Cure Model with Local Polynomial Estimation
Li-Hsiang Lin, Georgia Tech; Li-Shan Huang, Institute of Statistics, National Tsing Hua University, TAIWAN
9:55 AM

Pairwise Accelerated Failure Time Models for Infectious Disease Transmission Within and Between Households
Yushuf Sharker, Yale University; Eben Kenah, The Ohio State University School of Public Health
10:35 AM

Survival Models with Compound Random Measures
Fabrizio Leisen, University of Kent
11:15 AM

Survival Analysis of Recurrent Events on Prostate Cancer: Facts from Cancer Genome
Munni Begum, Ball State University
11:35 AM

On the Parameter Estimation and Modeling of Clustered Survival Data with Delayed Entry and Missing Covariates
Hua Shen, University of Calgary
11:55 AM