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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: latent class returned 23 record(s)
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Monday, 07/30/2018
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Variation of Functional Connectome Topology and Its Implications for Attention
Kelson Zawack, Yale University
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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
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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
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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
11:00 AM
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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
11:15 AM
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Tuesday, 07/31/2018
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Latent Class Analysis with a Calibrated Conditional Independence Assumption
Joseph Kang, Centers for Disease Control & Prevention; Tandin Dorji, Oak Ridge Institute for Science and Education (ORISE)
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An Application of Stagewise Estimation to Monitor Latent Class Changes Over Survey Periods
Kei Miyazaki, Kansai University; Takahiro Hoshino, Keio University; Ulf Bockenholt, Northwestern University
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Assessing Divide-and-Conquer Latent Class Analysis
Qiao Ma, NORC at the University of Chicago; Meimeizi Zhu, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago
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Assessing Divide-and-Conquer Latent Class Analysis
Qiao Ma, NORC at the University of Chicago; Meimeizi Zhu, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago
12:05 PM
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A Joint Modeling Framework Using Responses and Response Times to Track Skill Acquisition: Model Estimation and Application
Shiyu Wang, University of Georgia; Susu Zhang, University of Illinois at Urbana-Champaign; Jeff Douglas, University of Illinois at Urbana-Champaign; Steven Culpepper, University of Illinois at Urbana-Champaign
2:25 PM
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Bayesian Variable Selection for Restricted Latent Class Model with an Application in Cognitive Diagnostic Models
Steven Culpepper, University of Illinois at Urbana-Champaign; Feng Liang, University of Illinois at Urbana-Champaign; Yinyin Chen, University of Illinois at Urbana Champaign
3:05 PM
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Identifiability of Restricted Latent Class Models
Gongjun Xu, University of Michigan; Yuqi Gu, University of Michigan
3:25 PM
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Wednesday, 08/01/2018
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A Latent Class Analysis to Identify Subgroups of Heart Failure Under Missingness And/Or Uncertainty in the Indicator Variables
Wendimagegn Alemayehu, University of Alberta; Cynthia M Westerhout, University of Alberta; Jason R Dyck, University of Alberta; Todd Anderson, University of Calgary; Justin A Ezekowitz, University of Alberta
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Statistical Approaches to Assess Early Life Exposure to Complex Mixtures and Associations with Latent Patterns of Neurodevelopmental Trajectories
Shelley H. Liu, Icahn School of Medicine at Mount Sinai; Brent A. Coull, Harvard TH Chan School of Public Health; Robert Wright, Icahn School of Medicine at Mount Sinai
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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
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Bayesian Latent Class Models for Identifying Biomarkers in Circadian Patterns
Sung Duk Kim, National Cancer Institute; Paul S Albert, National Cancer Institute
8:35 AM
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Statistical Approaches to Assess Early Life Exposure to Complex Mixtures and Associations with Latent Patterns of Neurodevelopmental Trajectories
Shelley H. Liu, Icahn School of Medicine at Mount Sinai; Brent A. Coull, Harvard TH Chan School of Public Health; Robert Wright, Icahn School of Medicine at Mount Sinai
8:50 AM
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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
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A Latent Bayesian Classification Model to Predict Kidney Obstruction Based on Renography and Expert Ratings
Changgee Chang, University of Pennsylvania; Jeong Hoon Jang, Emory University; Amita Manatunga, Emory University; Qi Long, University of Pennsylvania
9:05 AM
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