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Keyword Search Criteria: Mixed model returned 36 record(s)
Sunday, 07/29/2018
Spatiotemporal Analysis of Environmental Health Risk
Renjun Ma, University of New Brunswick; Edward Hughes, Edward Hughes Consulting


Simultaneous Genetic Analysis of Sequence Data from a Pair of Organisms That Jointly Influence a Phenotype
Mary Sara McPeek, University of Chicago; Miaoyan Wang, UC Berkeley
2:05 PM

Simulation Study on the Impact of Accuracy of Estimated Genetic Relationship Matrices on Predicting Genotype Performance
MINGZHU SUN, The University of Queensland; Vivi Arief, UNIVERSITY OF QUEENSLAND; Ian DeLacy, UNIVERSITY OF QUEENSLAND; Kaye Basford, UNIVERSITY OF QUEENSLAND; Wen-Hsi Yang, UNIVERSITY OF QUEENSLAND
3:20 PM

Spatio-Temporal Models for Big Multinomial Data Using the Conditional Multivariate Logit-Beta Distribution
Scott H. Holan, University of Missouri/U.S. Census Bureau; Jonathan R Bradley, Florida State University; Christopher K. Wikle, University of Missouri
4:05 PM

Bayesian Multivariate Longitudinal Models for Bariatric Surgery Outcomes
Heidi Fischer, Kaiser Permanente Southern California; Karen Coleman, Kaiser Permanente Southern California; Robert Weiss, UCLA; Stephen Derose, Kaiser Permanente Southern California; Allon Friedman, Indiana University School of Medicine; David H. Smith, Kaiser Permanente Center for Health Research; Talha Imam, Kaiser Permanente Southern California
5:20 PM

Monday, 07/30/2018
An Efficient Algorithm for Outlier Detection in Linear Mixed Model
Tzu-Ying Liu, University of Michigan; Hui Jiang, University of Michigan


Predicting Hospital Readmission for Diabetes Patients by Classical and Machine Learning Approaches
Gabrielle LaRosa, University of Pittsburgh; Chathurangi Pathiravsan, Southern Illinois University Carbondale; Rajapaksha Wasala M Anusha Madushani, University of Florida


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


A Multi-Dimensional Integrative Scoring Framework for Predicting Functional Regions in the Human Genome
Xihao Li, Harvard T.H. Chan School of Public Health; Godwin Yung, Takeda Pharmaceutical; Hufeng Zhou, Harvard T.H. Chan School of Public Health; Iuliana Ionita-Laza, Columbia University; Xihong Lin, Harvard University
9:35 AM

Robust Inference Based on Linear Mixed Models with Application to Gene Detections
Youngseok Song, Colorado State University; Wen Zhou, Colorado State University; Kim Hoke, Colorado State University; Wenxin Zhou, University of California, San Diego
9:50 AM

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
10:40 AM

MM Algorithms for Variance Components Models
Liuyi Hu, North Carolina State University; Hua Zhou, UCLA; Jin Zhou, University of Arizona; Kenneth Lange, UCLA
10:50 AM

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
10:55 AM

Longitudinal Models for Kidney Function Decline
Jing Zhang, Moores UCSD Cancer Center; Loki Natarajan, UCSD; Kumar Sharma, Division of Nephrology,University of Texas Health San Antonio; Tina Costacou, University of Pittsburgh; Janet Snell-Bergeon , University of Colorado Anschutz Medical Campus, School of Medicine; Rachel Miller, University of Pittsburgh; Trevor Orchard, University of Pittsburgh
11:50 AM

Cluster Mean Centering in Hierarchical Linear Models
Noa Molshatzki, University of Southern California; Sandrah P. Eckel, University of Southern California
3:20 PM

Tuesday, 07/31/2018
Using the Posterior Predictive Distribution as a Diagnostic Tool for Mixed Models
Matthew Kramer, StatGrp/ARS/USDA


A flexible class of parametric distributions for Bayesian linear mixed models
Darren Wraith, Queensland University of Technology; Mohsen Maleki, Shiraz University; Reinaldo B. Arellano-Valle, Universidad Católica de Chile


Testing Nonlinear Gene-Environment Interaction Through Varying Coefficient and Linear Mixed Models
Zhengyang Zhou, Southern Methodist University; Chao Xing, University of Texas Southwestern Medical Center; Hung-Chih Ku, DePaul University
8:50 AM

How Much Is Too Much: Impact of Missing Data Rates in Patient Reported Outcomes Research
Katie L Kunze, Mayo Clinic; Paul J. Novotny, Mayo Clinic; Jeff A. Sloan, Mayo Clinic; Blake T. Langlais, Mayo Clinic; Amylou C. Dueck, Mayo Clinic
9:35 AM

Flexible Stochastic Growth Models and Their Experimental Design
Nikolaos Demiris, Athens University of Economics and Business; Konstantinos Kalogeropoulos, London School of Economics; Nikolas Kantas, Imperial College London
10:35 AM

Relationship Between Caffeine Intake and Autosomal Dominant Polycystic Kidney Disease Progression
Katelyn McKenzie, University of Kansas Medical Center; Jonathan D Mahnken, University of Kansas Medical Center; Mirelle El Ters, Division of Nephrology and Hypertension, Mayo Clinic; Vicente E Torres, Division of Nephrology and Hypertension, Mayo Clinic; Peter C Harris, Division of Nephrology and Hypertension, Mayo Clinic; Arlene B Chapman, Section of Nephrology, University of Chicago School of Medicine; Michal Mrug, Division of Nephrology, University of Alabama; Frederic F. Rahbari-Oskoui, Emory University School of Medicine; Kyongtae Ty Bae, University of Pittsburgh School of Medicine; Douglas P Landsittel, University of Pittsburgh School of Medicine; William M Bennett, Legacy Good Samaritan Hospital; Alan S. L. Yu, Division of Nephrology and Hypertension, and the Jared Grantham Kidney Institute, KUMC
10:50 AM

SMMAT: a Powerful and Efficient Variant Set Mixed Model Association Test for Binary and Quantitative Traits in Whole Genome Sequencing Studies with Correlated Samples
Han Chen, The University of Texas Health Science Center at Houston
11:05 AM

Wednesday, 08/01/2018
An Improved Estimator for Variance Components in Linear Mixed Model
Kun Yue, University of Washington; Jing Ma, Fred Hutch Cancer Research Center; Ali Shojaie, University of Washington


TWO-SIGMA: a Two-Component Generalized Linear Mixed Model for ScRNA-Seq Association Analysis
Eric Van Buren, UNC Chapel Hill; Yun Li, University of North Carolina at Chapel Hill; Ming Hu, Cleveland Clinic Foundation; Di Wu, UNC Chapel HIll


Reliability-Adjusted Composite Measures for the Prevention of Healthcare-Associated Infections (HAIs)
Mathew Sapiano, CDC; Jonathan R Edwards, Center for Disease Control & Prevention


Inferences in High-Dimensional Misspecified Mixed Model Analysis for GWAS
Cecilia Dao, Yale Univ; Jiming Jiang, University of California, Davis; Debashis Paul, UC Davis; Hongyu Zhao, Yale


Bayesian Hierarchical Modeling of Clustered or Longitudinal RNA Sequencing Experiments
Brian Vestal, National Jewish Health; Camille Moore, National Jewish Health; Katerina Kechris, Colorado School of Public Health; Laura Saba, University of Colorado Anschutz Medical Campus; Tasha Fingerlin, National Jewish Health


A Novel Bayesian PK/PD Model for Synergy: Challenges and Opportunities for Sequential Knowledge Integration
Fabiola La Gamba; Tom Jacobs, Janssen R&D; Helena Geys, Janssen R&D; Christel Faes, Hasselt University


Challenges from Modeling Open Online Assessment Data
Yan Liu, The University of British Columbia; Henrike Besche, Harvard Medical School; Audrey Béliveau, University of Waterloo; Xingyu Zhang, The Hong Kong University of Science and Technology; Edward Kroc, The University of British Columbia; Melanie Stefan, Edinburgh Medical School; Johanna Gutlerner, Harvard Medical School; Chanmin Kim, Boston University School of Public Health


A Novel Bayesian PK/PD Model for Synergy: Challenges and Opportunities for Sequential Knowledge Integration
Fabiola La Gamba; Tom Jacobs, Janssen R&D; Helena Geys, Janssen R&D; Christel Faes, Hasselt University
8:55 AM

Challenges from Modeling Open Online Assessment Data
Yan Liu, The University of British Columbia; Henrike Besche, Harvard Medical School; Audrey Béliveau, University of Waterloo; Xingyu Zhang, The Hong Kong University of Science and Technology; Edward Kroc, The University of British Columbia; Melanie Stefan, Edinburgh Medical School; Johanna Gutlerner, Harvard Medical School; Chanmin Kim, Boston University School of Public Health
9:00 AM

Degrees of Freedom Adjustment in Mixed Model Repeated Measures Analyzes with Missing Data
Michael McDermott, University of Rochester Medical Center; Madhurima Majumder, Bayer Pharmaceuticals
2:05 PM

Bootstrap Tests Reflecting the Shape of Gradient Function for Assumption of Random Effect Distribution in Generalized Linear Mixed Models
Hiroki Sakaguchi, Shionogi & Co., Ltd.; Takahiro Hasegawa, Shionogi & Co., Ltd.; Hideaki Watanabe, Shionogi & Co., Ltd.
2:35 PM

A Multi-Level Mixed-Effects Model for Individual Participant Data Meta-Analysis with Outcomes from an Exponential Family
Ying Zhang, Penn State College of Medicine; Vernon M Chinchilli, Penn State College of Medicine
3:20 PM

Thursday, 08/02/2018
Fast Maximum Likelihood Inference for Spatial Generalized Linear Mixed Models
Yawen Guan, The Statistical and Applied Mathematical Sciences Institute; Murali Haran, Penn State University
11:50 AM

A General Framework for Variable Selection in Linear Mixed Models with Applications to Genetic Studies with Structured Populations
Sahir Rai Bhatnagar, McGill University; Karim Oualkacha, Universite Du Quebec a Montreal; Yi Yang, McGill University; Celia M.T. Greenwood, Lady Davis Research Institute, McGill University
12:05 PM