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Sessions Were Renumbered as of May 19.

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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 Models returned 26 record(s)
Sunday, 07/31/2016
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


Optimal Designs for Logistic Mixed Models Using Penalized Quasi-Likelihood Method
Wanchunzi Yu, Arizona State University; John Stufken, Arizona State University; Zhongshen Wang, Arizona State University
4:35 PM

Monday, 08/01/2016
Getting Past the Gatekeeper: Does Randomization-Based Curriculum in Introductory Statistics Promote Student Success?
Laura Hildreth, Montana State University; Jim Robison-Cox, Montana State University; Jade Schmidt, Montana State University


Getting Past the Gatekeeper: Does Randomization-Based Curriculum in Introductory Statistics Promote Student Success?
Laura Hildreth, Montana State University; Jim Robison-Cox, Montana State University; Jade Schmidt, Montana State University
12:15 PM

Personalized Screening Intervals for Biomarkers Using Joint Models for Longitudinal and Survival Data
Dimitris Rizopoulos, Erasmus University Medical Center
2:05 PM

Structural Equation Mixed Models with an Application to Small-Area Estimation
Jyothsna Sainath, University of Utah
2:20 PM

Generalized Linear Mixed Models for Analysis of Cross-Correlated Binary Response in Multireader Studies of Diagnostic Accuracy
Yuvika Paliwal; Andriy Bandos, University of Pittsburgh
3:20 PM

Tuesday, 08/02/2016
Quantifying Power and Bias in Cluster-Randomized Trials Using Mixed Models Versus Cluster-Level Analysis in the Presence of Missing Data: A Simulation Study
Brenda Vincent, University of Arizona; Melanie L. Bell, University of Arizona


Modeling Heterogeneity in Motor Learning Using Heteroskedastic Functional Principal Components
Daniel Backenroth, Columbia Mailman School of Public Health; Jeff Goldsmith, Columbia Mailman School of Public Health; Tomoko Kitago, Columbia University Medical Center; John Krakauer, Johns Hopkins School of Medicine


An R Package Enabling Likelihood-Based Inference for Generalized Linear Mixed Models
Christina Knudson


Statistical Methods for Joint Genetic Mapping Based on Sequence Data of Two Interactive Organisms
Mary Sara McPeek, The University of Chicago; Miaoyan Wang, The University of Chicago
8:35 AM

Multiple Intraclass Correlations for Higher-Level Nested Logistic Regression
Kyle Irimata, Arizona State University; Jeffrey Wilson, Arizona State University
9:35 AM

Modeling Heterogeneity in Motor Learning Using Heteroskedastic Functional Principal Components
Daniel Backenroth, Columbia Mailman School of Public Health; Jeff Goldsmith, Columbia Mailman School of Public Health; Tomoko Kitago, Columbia University Medical Center; John Krakauer, Johns Hopkins School of Medicine
10:55 AM

An R Package Enabling Likelihood-Based Inference for Generalized Linear Mixed Models
Christina Knudson
10:55 AM

Estimating Onset Time from Longitudinal Data with Application to Estimating Gestational Age from Maternal Anthropometry During Pregnancy
Ana Maria Ortega-Villa, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Paul Albert, Eunice Kennedy Shriver National Institute of Child Health and Human Development
2:35 PM

Wednesday, 08/03/2016
Is Your Mixed Model Analysis Mixed Up?
Phil Gibbs, SAS Institute


A Computationally Efficient Algorithm for Random Effects Selection in Linear Mixed Models
Mihye Ahn, University of Nevada, Reno; Helen Zhang, University of Arizona; Wenbin Lu, North Carolina State University
8:35 AM

Semiparametric Stochastic Mixed Models for Bivariate Periodic Longitudinal Data
Kexin Ji, University of Waterloo; Joel Dubin, University of Waterloo
9:05 AM

Restricted Maximum Likelihood Approaches for Linear Mixed Models: AREML and BREML
Erning Li, University of Iowa; Dale Zimmerman, University of Iowa
9:05 AM

Simulation Studies for Comparison of Gene-Based Association Tests
Hung-Chih Ku, DePaul University; Chao Xing, The University of Texas Southwestern Medical Center
2:05 PM

Evaluation Transition: Comparing RealVAMS and Current Value-Added Models
Jennifer Broatch, Arizona State University; Jennifer Green, Montana State University
3:20 PM

Thursday, 08/04/2016
Is Q-Learning a Valid Method of Knowing?
Francisco Diaz, University of Kansas Medical Center
8:35 AM

Capitalizing on the Use of Basis Sets in Regression Spline Mixed Models
Karen Nielsen
9:05 AM

Ice Sheet Model Calibration with Paleoclimate and Modern Data
Murali Haran, Penn State University; Won Chang, Penn State University; David Pollard, Penn State University Earth and Environmental Systems Institute; Patrick Applegate, Penn State University
11:25 AM

New Bootstrap Bias Corrections with Application to Estimation of Prediction Mean Square Error in Small-Area Estimation
Danny Pfeffermann, CBS Israel, Hebrew University/University of Southampton
11:25 AM

Modeling Maternal-Offspring Gene-Gene Interactions at Multiple Loci Using the Quantitative-MFG Test with an Application to Human Birth Weight
Michelle M. Clark, University of California at Los Angeles; Olympe Chazara, University of Cambridge; Eric M. Sobel, University of California at Los Angeles; Ashley Moffett, University of Cambridge; Janet S. Sinsheimer, University of California at Los Angeles
12:05 PM

 
 
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