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
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
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
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
