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Keyword Search Criteria: Joint Modeling returned 26 record(s)
Sunday, 07/28/2019
Current and Future Directions of Intensive Longitudinal Data Analysis
Summer Frank-Pearce; Michael Businelle, Oklahoma Tobacco Research Center, The University of Oklahoma Health Sciences Center; Darla Kendzor, Oklahoma Tobacco Research Center, The University of Oklahoma Health Sciences Center; Emily Hébert, Oklahoma Tobacco Research Center, The University of Oklahoma Health Sciences Center
2:05 PM

Stochastic Dynamics in Behavioral Mobile Health: Joint Modeling of Dynamic Health and Engagement Outcomes
Walter Dempsey, Harvard University
3:20 PM

Analysis of Big and Complex Data in National Cotton Variety Test
Qian Zhou
3:35 PM

Monday, 07/29/2019
A Bayesian Model of Microbiome Data for Simultaneous Identification of Covariate Associations and Prediction of Phenotypic Outcomes
Matthew Koslovsky, Rice University; Kristi L. Hoffman, Baylor College of Medicine; Carrie R. Daniel, MD Anderson Cancer Center; Marina Vannucci, Rice University


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


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

Contrasting a Longitudinal Factor Model with a Linear Mixed-Effects Model to Address Incomplete Data on Repeated Measures in an AIDS Prevention Study
Panteha Hayati Rezvan, University of California Los Angeles; Xiang Lu, University of California Los Angeles; Thomas Belin, UCLA
11:50 AM

Tuesday, 07/30/2019
Multivariate Joint Modeling of Mean and Variation and Time-Lagged Intensive Longitudinal Methods to Assess Associations Between Outcomes and Predictor Variation
Maryam Skafyan, University of Northern Colorado; Trent L Lalonde, University of Northern Colorado


Bayesian Semiparametric Joint Modeling of Longitudinal Predictors and a Binary Outcome
Woobeen Lim, The Ohio State University; Michael Pennell, Ohio State University


A Bayesian Joint Model for Longitudinal Frequency and Duration Outcomes in a Migraine Study
Gul Inan, Istanbul Technical University
11:35 AM

Bayesian Semiparametric Joint Modeling of Longitudinal Predictors and a Binary Outcome
Woobeen Lim, The Ohio State University; Michael Pennell, Ohio State University
12:00 PM

Dynamic Prediction of Alzheimer's Disease Progression Using Features of Multiple Longitudinal Outcomes
Kan Li, Merck & Co.; Sheng Luo, Duke University Medical Center; Richard Entsuah, Merck & Co.
2:05 PM

The Joint Modeling of Longitudinal Covariates and Censored Quantile Regression
Bo Hu, Columbia University; Ying Wei, Columbia University, Biostatistics Department; Mary Beth Terry, Columbia University
2:05 PM

Joint Latent Class Trees: a Tree-Based Approach to Joint Modeling of Time-To-Event and Longitudinal Data
Ningshan Zhang, New York University; Jeffrey S. Simonoff, New York University
2:35 PM

Joint Modeling of Longitudinal Data and Informative Zero-Inflated Cluster Size Adjusted for a Terminal Event
Biyi Shen, The Pennsylvania State University; Vernon Chinchilli, Pennsylvania State University; Ming Wang, Pennsylvania State University
3:05 PM

A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinal Biomarker
Krithika Suresh, University of Colorado; Jeremy Taylor, University of Michigan; Alexander Tsodikov, University of Michigan
3:20 PM

Wednesday, 07/31/2019
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

JointMM: Joint Modeling of Longitudinal Microbiome and Time-To-Event Data with Application to a Type I Diabetes Study
Jiyuan Hu, New York Unversity School of Medicine; Chan Wang, Division of Biostatistics, NYU School of Medicine; Martin Blaser, New York University School of Medicine and Rutgers University; Huilin Li, NYU School of Medicine
11:20 AM

Joint Modeling of Longitudinal Continuous, Longitudinal Ordinal, and Time-To-Event Outcomes
Abdus Sattar; Khurshid Alam, Case Western Reserve University; Arnab Maity, North Carolina State University; Sanjoy Sinha, Carleton University; Dimitris Rizopoulos, Erasmus University Medical Center
2:05 PM

A Joint Modeling Approach of Repeated Measure and Time-To-Event Data for Differentially Expressed/Spliced Isoform Transcripts
Huining Kang, University of New Mexico; Xichen Li, University of New Mexico; Li Luo, University of New Mexico; Scott A Ness, University of New Mexico
2:20 PM

Bayesian Joint Modeling of Multiple Brain Functional Networks
Joshua D. Lukemire, Emory University; Suprateek Kundu, Emory University; Giuseppe Pagnoni, University of Modena and Reggio Emilia; Ying Guo, Emory University
2:20 PM

Joint Modeling of Multivariate Longitudinal Outcomes and Multiple Time-To-Events in Presence of Informative Censoring
Md Akhtar Hossain, University of South Carolina; Alexander C McLain, University of South Carolina; Hrishikesh Chakraborty, Duke Clinical Research Institute, Duke University
2:35 PM

Joint Spline Models for Continuous Time Causal Mediation Analysis
Jeffrey M Albert, Case Western Reserve University; Tanujit Dey, Cleveland Clinic Foundation; Youjun Li, Case Western Reserve University; Jiayang Sun, Case Western Reserve University; Wojbor Woyczynski, Case Western Reserve University; Rujia Liu, Case Western Reserve University; Meeyoung Min, Case Western Reserve University
3:35 PM

Thursday, 08/01/2019
A Joint Model for Binary Longitudinal and Right-Censored Survival Data in the Context of Antibody Mediated Rejection After Kidney Transplantation
Maarten Coemans, KU Leuven; Aleksandar Senev, KU Leuven; Marie-Paule Emonds, KU Leuven; Maarten Naesens, KU Leuven; Geert Verbeke, Catholic University of Leuven
8:35 AM

Joint Modeling of Longitudinal and Time-To-Event Data with Application to Multiple Myeloma
Liangcai Zhang, Johnson & Johnson; Hong Tian, Janssen Pharmaceutical
8:50 AM

Wearable Sensor Data Fusion for Affect Lability Detection
Fengqing Zhang, Drexel University; Tinashe Tapera, Drexel University; Adrienne Juarascio, Drexel University
11:50 AM