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Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: mixed-effects model returned 20 record(s)
Sunday, 07/31/2016
Modeling Means and Variances Using Mixed-Effects Location Scale Models for Intensive Longitudinal Data
Donald Hedeker, The University of Chicago


A Mixed-Effects Modeling Approach to Study the Impact of Pesticides on Farmworkers' Brain Networks Using RS-fMRI Data
Mohsen Bahrami, Virginia Tech; Paul Laurienti, Wake Forest School of Medicine; Thomas Arcury, Wake Forest School of Medicine; Sean Simpson, Wake Forest School of Medicine


Mixed-Effects Models for Resampled Network Statistics Improve Statistical Power to Find Differences in Functional Brain Connectivity
Manjari Narayan, Rice University; Genevera Allen, Rice University


Fully Efficient and Outlier-Robust Estimation in the Linear Mixed Model
Won Gyo Suh, North Carolina State University; Howard Bondell, North Carolina State University
5:05 PM

Monday, 08/01/2016
Is There Any Racial Difference in Swimming Speed? A Nonlinear Swim Hockey-Stick Mixed-Effects Model
Din Chen, The University of North Carolina at Chapel Hill; Jenny Ke Chen, East Chapel Hill High School


Evaluation of Intraclass Correlation Coefficient (ICC) Difference Between Two Measurement Techniques
Huining Kang, University of New Mexico; Yang Shi, University of New Mexico; Ji-Hyun Lee, University of New Mexico


Spatial Confounding in Semiparametric Regression Models for Spatial Data
Guilherme Ludwig, University of Wisconsin - Madison; Jun Zhu, University of Wisconsin - Madison; Chun-Shu Chen, National Changhua University of Education


Spatial Confounding in Semiparametric Regression Models for Spatial Data
Guilherme Ludwig, University of Wisconsin - Madison; Jun Zhu, University of Wisconsin - Madison; Chun-Shu Chen, National Changhua University of Education
8:50 AM

Functional Mixed-Effects Models for Longitudinal Data: An Application to Electrical Impedance Myography Data
Kush Kapur, Boston Children's Hospital/Harvard Medical School; Rajesh Selukar, SAS Institute; Basil Darras, Boston Children's Hospital; Seward Rutkove, Beth Israel Deaconess Medical Center
10:05 AM

Effect Comparison in Nonlinear Dyadic Mixed-Effects Models Between Equations
Christoph Kern, University of Duisburg-Essen; Petra Stein, University of Duisburg-Essen
11:45 AM

Spatio-Temporal Change of Support with Application to American Community Survey Multi-Year Period Estimates
Scott H. Holan, University of Missouri; Jonathan R. Bradley, University of Missouri; Christopher Wikle, University of Missouri
2:55 PM

Tuesday, 08/02/2016
A Finite Mixture Model for Clustered Bivariate Binary Data: Application to Ophthalmologic Data Structures
John Kwagyan, Howard University College of Medicine
8:50 AM

Bayesian Modeling of Between- and Within-Subject Variances Using Mixed Effects Location Scale Models for Intensive Longitudinal Data
Donald Hedeker, The University of Chicago; Robin J. Mermelstein, University of Illinois at Chicago; Xiaolei Lin, The University of Chicago
2:25 PM

Functional Mixed-Effects Modeling Meets Spectral Analysis of Replicated Time Series
Joris Chau, Université Catholique de Louvain
2:50 PM

Wednesday, 08/03/2016
A Comparison of Repeated Measures ANOVA and Mixed-Effects Models in Analyzing Repeated Measures Data
Allison M. Butler, Intermountain Healthcare; Gregory L. Snow, Intermountain Healthcare; Bill McDermott, The Orthopedic Specialty Hospital; Jeffrey Ferraro, Homer Warner Center for Informatics Research; Kyle Hiroyasu, Homer Warner Center for Informatics Research


Confidence Intervals for Variance Components in Mixed-Effects Models: A Likelihood-Based Approach
Gaurav Sharma, The EMMES Corporation; Lihan Yan, FDA
9:20 AM

Classification of Longitudinal Data Using P-Splines and Correlated Mixed-Effects Models Applied to Predict Pregnancy Outcomes
Cristian Meza, Universidad de Valparaiso; Ana Arribas-Gil, Universidad Carlos III de Madrid; Rolando De la Cruz, P. Universidad Católica de Valparaíso; Claudio Fuentes, Oregon State University
11:05 AM

Testing Treatment Effect in Clinical Trials with Patient Dropout Using Latent Mixture Models
Fanhui Kong, FDA; Yeh-Fong Chen, FDA
2:20 PM

A Multivariate Selection Model for Cluster-Level Outcome-Dependent Missing Data
Jiebiao Wang, The University of Chicago; Pei Wang, Icahn School of Medicine at Mount Sinai; Lin Chen, The University of Chicago
2:50 PM

Thursday, 08/04/2016
Individualizing Drug Dosage with Longitudinal Data
Xiaolu Zhu, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
10:50 AM

 
 
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