Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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70 * !
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Sun, 7/30/2017,
4:00 PM -
5:50 PM
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CC-317
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Utilizing High-Dimensional and Complex Data in Personalized Medicine — Contributed Papers
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Mental Health Statistics Section , Section on Statistics in Imaging
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Chair(s): Himel Mallick, Harvard University
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4:05 PM
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Assessing Latent Dimensionality of a Symptom Battery in a Sample with Many Subjects Exhibiting No Symptoms
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William Christensen, Brigham Young University ; Melanie M Wall, Columbia University ; Irini Moustaki, London School of Economics
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4:20 PM
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Sequential Outcome-Weighted Multicategory Learning for Estimating Optimal Individualized Treatment Rules
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Xuan Zhou
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4:35 PM
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Empirical Likelihood Estimator of Causal Effect under Subclassification
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Junvie Pailden, Southern Illinois University Edwardsville
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4:50 PM
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Integrating Multiple-Domain Rules for Disease Classi fication: With Application to Developing Criteria Sets for Mental Disorders
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Christine Mauro, Columbia University ; M. Katherine Shear, Columbia University ; Yuanjia Wang , Columbia University
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5:05 PM
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An Integrative Genomics Approach to Infer Gene Expression Statistical Causal Network
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Akram Yazdani, Icahn School of Medicine at Mount Sinai ; Azam Yazdani, The University of Texas School of Public Health, Houston ; Panos Roussos, Icahn School of Medicine at Mount Sinai
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5:20 PM
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Multivariate Analysis of Functional Magnetic Resonance Imaging (fMRI) Data
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Abera Wouhib, NIMH/NIH
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5:35 PM
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Evaluation of Brain Activation Changes in Functional Magnetic Resonance Imaging Data Using Cluster Analysis
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Arunava Samaddar, University of Georgia
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