Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
257
Mon, 7/30/2018,
2:00 PM -
2:45 PM
CC-West Hall B
SPEED: Longitudinal/Correlated Data — Contributed Poster Presentations
Biometrics Section , Health Policy Statistics Section, Section on Statistics in Epidemiology, ENAR
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
1:
Effect of Longitudinal Intracranial Pressure on Ordinal Glasgow Outcome Scale Using a Joint Model Approach
Maria Laura Rubin, The University of Texas MD Anderson Cancer Center ; Wenyaw Chan, University of Texas Health Science Center at Houston; Jose-Miguel Yamal, The University of Texas Health Science Center at Houston; Claudia Sue Robertson, Baylor College of Medicine
2:
Mixed Latent Markov Models for Longitudinal Multiple Diagnostics Data with an Application to Salmonella in Malawi
Marc Henrion, Malawi Liverpool Wellcome Trust Clinical Research Programme ; Angeziwa Chirambo, Malawi Liverpool Wellcome Trust Clinical Research Programme; Tonney C. Nyirenda, College of Medicine; Melita Gordon, Malawi Liverpool Wellcome Trust Clinical Research Programme
3:
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
4:
Horizontal and Vertical Effects in a Logistic Regression Model
Diana Gonzalez, Arizona State University
5:
An R2 Statistic for Covariance Model Selection in the Linear Mixed Model
Byron Jaeger, University of Alabama at Birmingham ; Lloyd Edwards, University of Alabama at Birmingham; Matthew Gurka, University of Florida
6:
Using Multitrajectory Modeling in Latent Class Growth Analysis to Identify Multi-Symptom Trajectories Over Time
Wei Pan, Duke University ; Mary C Hooke, University of Minnesota School of Nursing; Cheryl Rodgers, Duke University School of Nursing; Marilyn Hockenberry, Duke University School of Nursing
8:
A Novel Robust Approach for Analysis of Longitudinal Data
Yuexia Zhang, Fudan University ; Guoyou Qin, Fudan University; Zhongyi Zhu, Fudan University
9:
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
10:
Sampling Studies for Longitudinal Functional Data Analysis
Toni Jassel ; Andrada E Ivanescu, Montclair State University
11:
Power and Sample Size Requirements for GEE Analyzes of Cluster Randomized Crossover Trials
Fan Li, Duke Univeristy ; Andrew Forbes, Monash University; Elizabeth L. Turner, Duke Global Health Institutes; John S. Preisser, University of North Carolina at Chapel Hill
12:
Evaluating Quantile Estimation Methods for Setting Normal Values for Longitudinal Measures
Jeffrey Slezak, Kaiser Permanente ; Steven J Jacobsen, Kaiser Permanente; Stephanie Reading, Kaiser Permanente
13:
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
14:
Coherence-Based Time Series Clustering for Brain Connectivity Visualization
Carolina Euan Campos, KAUST ; Ying Sun, KAUST; Hernando Ombao, King Abdullah University of Science and Technology
15:
Interrupted Time Series Analysis to Evaluate the Effect of a Multicenter Collaborative Effort to Improve Care for Adult Intensive Care Patients
Alai Tan, Ohio State University College of Nursing ; Michele C. Balas, Ohio State University College of Nursing
16:
A Comparison of Modeling Approaches for Stepped-Wedge Cluster Randomized Trials That Include Multilevel Clustering, Confounding by Time, and Effect Modification
Lance Ford, University of Oklahoma Health Sciences Center ; Julie A Stoner, University of Oklahoma Health Sciences Center; Daniel Zhao, OU Health Sciences Center; Tabitha Garwe, University of Oklahoma Health Sciences Center; Ann Chou, University of Oklahoma Health Sciences Center; Daniel Duffy, University of Oklahoma-Tulsa
17:
Unified Mediation Analysis Approach to Complex Data of Mixed Types via Copula Models
Wei Hao, University of Michigan ; Peter X.-K. Song, University of Michigan
18:
Vine Copula Models for Family Data Analysis
Yihao Deng, Purdue University Fort Wayne ; N. Rao Chaganty, Old Dominion University
19:
The Implementation of Moderated T-Tests in Linear Mixed-Effects Models
Lianbo Yu, Ohio State University ; Jianying Zhang, Ohio State University; Guy Brock, Ohio State University College of Medicine; Soledad Fernandez, The Ohio State University
