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* = applied session       ! = JSM meeting theme

Activity Details

1 Sun, 8/2/2020, 12:30 PM - 3:30 PM Virtual
Invited E-Poster Session — Invited Poster Presentations
ASA, Text Analysis Interest Group
Chair(s): Xiaoyue Maggie Niu, Penn State University
01: An Innovative Model for Establishing Data Science Units in Academic Medical Centers
Manisha Desai, Stanford University; Mary Boulos, Stanford University
02: Partial Identification for Capture-Recapture Surveys
Jinghao Sun, Yale University; Forrest W. Crawford, Yale University
03: Methods for Inference of Microbial Interactions Using Copula Models with Mixture Margins
Rebecca Deek, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
04: Explained Variance Decompositions for Mediation Effect Sizes with Multiple Exposures
Shanshan Zhao, NIEHS; Yue Jiang, Duke University; Jason Fine, University of North Carolina Chapel Hill
05: A Bayesian Model to Infer Contact Network Structure from HIV Epidemic Data
Nicole Carnegie, Montana State University
06: A Minimax Optimal Ridge-Type Set Test for Global Hypothesis with Applications in Whole Genome Sequencing Association Studies
Xihong Lin, Harvard TH Chan School of Public Health; Yaowu Liu, Harvard University
07: Probabilistic Forecasts of Arctic Sea Ice Thickness
Peter Gao, University of Washington; Adrian Raftery, University of Washington; Cecilia Bitz, University of Washington
08: Modeling the Marked Presence-Only Data: A Case Study of Estimating the Female Sex Worker Size in Malawi
Ian Laga, Penn State University; Le Bao, Penn State University; Xiaoyue Maggie Niu, Penn State University
09: Revealing Spatial Gene Patterns and Interactions in Mouse Brain via Stability-Driven NMF
Yu Wang, UC Berkeley; Reza Abbasi-Asl, UC San Francisco; Nathan Gouwens, Allen Institute; Zizhen Yao, Allen Institute; Bosiljka Tasic, Allen Institute; Hongkui Zeng, Allen Institute; Anton Arkhipov, Allen Institute; Bin Yu, UC Berkeley
10: Neyman-Pearson Classification Algorithms and NP Receiver Operating Characteristics
Jingyi Jessica Li, University of California, Los Angeles; Xin Tong, University of Southern California; Yang Feng, New York University
11: Bayesian Meta-Analysis of Censored Rare Events
Shouhao Zhou, Penn State University; Xinyue Qi, UT-MD Anderson Cancer Center; Christine B. Peterson, The University of Texas MD Anderson Cancer Center
12: Estimation of the Intensity Function of an Inhomogeneous Poisson Process with a Change-Point
Brendan Murphy, University College Dublin; Tin Lok James Ng, University of Wollongong
13: Achieving Differential Privacy with Elliptical Perturbations
Matthew Reimherr, Penn State University; Jordan Awan, Penn State University
14: A Bayesian Semiparametric Approach to Estimating a Bacterium’s Wild-Type Distribution and Prevalence Estimation: Accounting for Contamination and Measurement Error (BayesACME)
Will Eagan, Purdue University; Bruce A. Craig, Purdue University
15: Ethical Academic Collaboration from the Outside In
Kim Love , K. R. Love Quantitative Consulting and Collaboration
16: Addressing Measurement Error in Microbiome Data
David Clausen, Department of Biostatistics, University of Washington; Amy Willis, Department of Biostatistics, University of Washington
17: Sparse Functional Principal Component Analysis in High Dimensions
Xiaoyu Hu, Peking University; Fang Yao, Peking University
18: Consistently Estimating Graph Statistics Using Aggregated Relational Data
Tyler McCormick, University of Washington; Arun Chandrasekhar, Stanford University; Emily Breza, Harvard University; Mengji Pan, Mengjie Pan
19: Unsupervised Multi-Granular Word Segmentation and Medical Term Discovery via Graph Partition
Zheng Yuan, Tsinghua University; Yuanhao Liu, University of Michigan; Qiuyang Yin, Tsinghua University; Boyao Li, Tsinghua University; Sheng Yu, Tsinghua University
20: The Future of Precision Health
Michael R. Kosorok, University of North Carolina at Chapel Hill
21: The Role of Stratification in Sequential Monte Carlo
Wenshuo Wang, Harvard University; Jun S. Liu, Harvard University; Ke Deng, Tsinghua University; Yichao Li, Tsinghua University
22: Latent Space Hawkes Processes
Owen Ward, Columbia University; Jing Wu, Columbia University; Tian Zheng, Columbia University
23: GWEB-Anno: An Empirical-Bayes-Based Approach for Genetic Risk Prediction Using GWAS Summary Statistics and Functional Annotations
Wei Jiang, Yale University; Hongyu Zhao, Yale University
24: Teaching Data Science Using Team-Based Learning
Eric Alfred Vance, University of Colorado Boulder
25: Modeling Reciprocity: Designing a Collaborative Undergraduate Research Course
Emily H Griffith, North Carolina State Universit; Stephany Dunstan, North Carolina State University
26: Adaptive Testing of the Composite Null Hypotheses in Mediation Analysis
Yinqiu He, University of Michigan
27: Incorporating Prior Knowledge on Phenotyping Accuracy for Bias Reduction in Association Studies Using Electronic Health Records Data
Yong Chen, University of Pennsylvania
28: Learning Healthcare Delivery Network with Longitudinal Electronic Health Records Data
Jiehuan Sun, University of Illinois at Chicago; Katherine Liao, Harvard Medical School; Tianxi Cai, Harvard University
29: Estimating Causal Effects of Continuous Exposure: Comparing the Relative Performance of Commonly Used Methods
Donna L Coffman, Temple University; Beth Ann Griffin, RAND; Daniel F McCaffrey, ETS ; Brian G Vegetabile, RAND Corporation
30: Estimating Association Between Baseline Covariates and Outcome Under Additive Nonignorable Missingness
Mauricio Sadinle, University of Washington; Chloe Krakauer, University of Washington
31: ISLE: An Integrated Learning (And Research) Environment for Statistics and Data Science
Rebecca Nugent, Carnegie Mellon University; Philipp Burckhardt, Carnegie Mellon University; Christopher R Genovese, Carnegie Mellon University
32: A Random Effects Stochastic Block Model for Joint Community Detection in Multiple Networks with Applications to Neuroimaging
Yuguo Chen, University of Illinois at Urbana-Champaign
33: A Study of Police Use of Force Using Novel Spatial Point Process Methodology
Claire E. Kelling, Penn State; Murali Haran, Pennsylvania State University; Aleksandra Slavkovic, Pennsylvania State University; Corina Graif, Penn State
34: Leveraging Auxiliary Information in Missing Data
Jerry Reiter, Duke University