This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Keyword Search

Keyword Search Criteria: latent variable returned 25 record(s)
Sunday, 08/01/2010
Bayesian Dynamic Item Response Models
Xiaojing Wang, Duke University; James Berger, Duke University; Donald Burdick, MetaMetrics, Inc.
2:05 PM

A Semiparametric Bayesian Approach for Modeling Ordinal Survey Data
Saman Muthukumarana, Simon Fraser University; Tim B. Swartz, Simon Fraser University
2:35 PM

Nonparametric Bayes Stochastically Ordered Latent Class Models
Hongxia Yang, Duke University; David Dunson, Duke University
4:05 PM

Monday, 08/02/2010
Statistical Reasons Why Preference-Scored Measures of HRQoL Disagree
Mari Palta, University of Wisconsin


Multivariate Spatial Factor Analysis Using Gaussian Predictive Processes
Qian Ren, University of Minnesota; Sudipto Banerjee, University of Minnesota
10:50 AM

Multilevel Bayesian models of survival and zero-inflated longitudinal patient-reported outcomes
Laura A. Hatfield, University of Minnesota; Mark E. Boye, Eli Lilly and Company; Michelle Denise Hackshaw, Eli Lilly and Company; Bradley P. Carlin, University of Minnesota
10:55 AM

Marginal Analysis of Longitudinal Count Data from a Teenage Driving Study
Zhiwei Zhang, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Paul S. Albert, Eunice Kennedy Shriver National Institute of Child Health and Human Development
11:20 AM

Data Augmentation Strategies for the Bayesian Spatial Probit Regression Model
Candace Berrett, The Ohio State University; Catherine Calder, The Ohio State University
11:35 AM

A Bayesian Latent Variable Model for Identifying Slow Early Fetal Growth
James C. Slaughter, Vanderbilt University; Amy H. Herring, The University of North Carolina at Chapel Hill
2:05 PM

Evaluating Screening Tests for Chlamydia trachomatis in the Absence of a Gold Standard Test
Alula Hadgu, CDC; Liangliang Wang, The University of British Columbia; Nandini Dendukuri, McGill University
2:20 PM

Marginal Method for Multilevel Incomplete Binary Data That Are Missing at Random
Baojiang Chen, University of Washington; Xiao-Hua Zhou, University of Washington
2:35 PM

Modeling Heaping in Self-Reported Longitudinal Cigarette Count Data
Hao Wang, The Johns Hopkins University; Daniel F. Heitjan, University of Pennsylvania
2:55 PM

Tuesday, 08/03/2010
Analyzing Cognitive Testing Data with Extensions of Item Response Theory Models
Jonathan Gruhl, University of Washington; Elena A. Erosheva, University of Washington; Paul K. Crane, University of Washington


An Improved Test of Latent-Variable Model Misspecification in Structural Measurement Error Models for Group Testing Data
Xianzheng Huang, University of South Carolina
8:35 AM

Latent Variable Modeling for Principal Stratification Analyses of Longitudinal Studies
Chen-Pin Wang, The University of Texas Health Science Center at San Antonio
9:50 AM

The Inextricability of Reliability and Interfactor Correlation
Peter H. Westfall, Texas Tech University; Kevin S.S. Henning, Texas Tech University
9:55 AM

Estimating Progression-Free Survival When the Progression Status of Some Patients Is Unknown
Ying Yuan, MD Anderson Cancer Center; Peter F. Thall, MD Anderson Cancer Center; Johannes Wolff, MD Anderson Cancer Center
11:55 AM

Multiple Endpoints Analysis with Latent Variable via Pseudolikelihood
Juanmei Liu, Medtronic ; Minglei Liu, Medtronic
2:50 PM

Wednesday, 08/04/2010
Analysis and Sensitivity Analysis for Incomplete Data
Geert Molenberghs, I-BioStat
10:35 AM

Analysis of Longitudinal Data with Time-Varying Dependence on Observation Times
Na Cai, North Carolina State University; Wenbin Lu, North Carolina State University; Hao Helen Zhang, North Carolina State University
11:35 AM

Comparing the Performance of Composite Endpoints and Responder Definitions with a Unified Modeling Framework for Multiple Endpoints Within Clinical Trials
David Andrae, PPD, Inc.
2:20 PM

Thursday, 08/05/2010
Integrative Clustering of Multiple Genomic Data Types Using a Regularized Joint Latent Variable Model
Ronglai Shen, Memorial Sloan-Kettering Cancer Center; Adam B. Olshen, University of California, San Francisco; Sijian Wang, University of Wisconsin-Madison
9:00 AM

Analysis of Discrete Choice Models with Latent Variable in Unobserved Component of Utility
Woosuk Kim, University of Cincinnati; Seongho Song, University of Cincinnati; Young Seuk Cho, Pusan National University
11:05 AM

Partitioning of Functional Data for Understanding Heterogeneity in Psychiatric Conditions
Eva Petkova, New York University
11:25 AM

Causal Inference with Latent Growth Mixture Modeling
Booil Jo, Stanford University
11:35 AM




2010 JSM Online Program Home

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