Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

Online Program Home
My Program

All Times EDT

Legend:
* = applied session ! = JSM meeting theme

Activity Details

		Tweet
81	Mon, 8/3/2020, 10:00 AM - 2:00 PM		Virtual
Contributed Poster Presentations: Section on Statistics in Epidemiology — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics

1:	Length of Stay and Cost of Hospitalizations in Patients with Spina Bifida with and Without Pressure Injuries Yinding Wang, Centers for Disease Control and Prevention; Lijing Ouyang, Centers for Disease Control and Prevention ; Brad E. Dicianno, University of Pittsburgh; Patricia Beierwaltes, Minnesota State University - Mankato; Rodolfo Valdez, Centers for Disease Control and Prevention ; Judy Thibadeau, Spina Bifida Association; Julie Bolen, Centers for Disease Control and Prevention
2:	Robust G-Computation for Estimating Causal Risk Differences and Risk Ratios for Dichotomous Outcomes with a Fixed-Time Binary Treatment Jay Xu, UCLA; Thomas R. Belin, UCLA
3:	Adapted Simulation Island Filters for Partially Observed Spatiotemporal Systems Kidus Asfaw, University of Michigan; Edward Ionides, University of Michigan; Joonha Park, Boston University; Aaron King, University of Michigan
4:	Introducing Sparse Weighted Sum Regression (SWSR): Variable Selection for Correlated Chemical Exposures Grace Lyden; David Vock, University of Minnesota; Shanna H. Swan, Mount Sinai School of Medicine; Emily S. Barrett, Rutgers University; Sheela Sathyanarayana, University of Washington; Ruby H.N. Nguyen, University of Minnesota
6:	Randomized Fixed Model Methodology for Genome Wide Association Study Sakar Sigdel
7:	Non-Parametric Bayesian Built Environment Heterogenous Effect Estimation Adam Peterson, University of Michigan; Brisa Sanchez, Drexel University
8:	A Semiparametric Modeling Approach to Causal Mediation Analysis for Longitudinal Data Youjun Li, Case Western Reserve University; Jeffery M Albert, Case Western Reserve University
9:	Incorporating Additional Information Using Penalized Regression for Gene-Environment Interaction Analysis Yaqing Xu, Yale University; Hao Mei, Yale University; Shuangge Ma, Yale University
10:	A Thought-Provoking Alternative to Interval-Based Inference Marie-Abele Bind, Harvard University; Donald Rubin, Tsinghua University
11:	Branching Processes with Covariates to Model the Spread of Tuberculosis Shannon Gallagher, NIAID; Dean Follmann, NIAID
12:	Gene Network Construction Using Ordering Information Meichen Dong, University of North Carolina at Chapel Hill; Fei Zou, University of North Carolina at Chapel Hill
13:	IGMDM: A Bayesian Mixture Model with Data Integration for Detection of Chromatin Interactions Shuyuan Lou, Ohio State University; Shili Lin, Ohio State University
14:	Estimating the Causal Effect of Surgical Treatment for Posterior Malleolus Fracture with Different Treatment Rules on Patient Reported Outcomes Nicholas Williams, Weill Cornell Medicine; Oleksandr Savenkov, Weill Cornell Medicine; Bopha Chrea, Hospital for Special Surgery
15:	Estimating the Causal Effect of Sepsis on Mortality in ICU Patients with and Without a Solid Organ Transplant Using Survival Targeted Minimum Loss-Based Estimation Katherine Hoffman, Weill Cornell Medicine; Iván Díaz, Weill Cornell Medicine
16:	Attributing Spatial Repellent Efficacy to Entomological Effects Modulated by Human Behavior Annaliese Wieler, University of Notre Dame; Nicole L Achee, Eck Institute for Global Health, University of Notre Dame; John P Grieco, Eck Institute for Global Health, University of Notre Dame; Neil Lobo, Eck Institute for Global Health, University of Notre Dame; Sean Moore, Eck Institute for Global Health, University of Notre Dame; Alex Perkins, Eck Institute for Global Health, University of Notre Dame
18:	Genetic Connection to Drug Induced Liver Injury (DILI) Through Statistical Learning Methods Roland Moore, Florida State University
19:	A Joint Statistical Model for Repeated Time-to-Event and Longitudinal Data Jiangtao Luo, EVMS-Sentara Healthcare Analytics and Delivery Science Institute (HADSI) , Eastern Virginia Medical; Zheng Chen, Southern University at New Orleans; Ismail El Moudden, Eastern Virginia Medical School; Mohan Dev Pant, Eastern Virginia Medical School
21:	A Spatially Varying Transmission Model for Foot and Mouth Disease Xiaoxiao Li, Penn State University; Murali Haran, Pennsylvania State University; Matthew Ferrari, Penn State University
22:	Variable Selection on Propensity Score Methods for Multiple Treatments Hulya Kocyigit, University of Georgia
23:	Comparison of Smartwatch-Based Lifestyle Measures Between Individuals with and Without Type 2 Diabetes in the Middle-Aged Participants of the Framingham Heart Study Yuankai Zhang, Boston University School of Public Health; Chathurangi H Pathiravasan, Department of Biostatistics, School of Public Health, Boston University; Michael Hammond, Boston University; Honghuang Lin, Section of Computational Biomedicine, Department of Medicine, Boston University ; Mayank Sardana, University of California San Francisco; Ludovic Trinquart, Boston University School of Public Health; Emelia J. Benjamin, Department of Medicine, and Department of Epidemiology, Boston University ; Belinda Borrelli, Department of Health Policy & Health Services Research, Boston University; Kelsey Fusco, Boston University; Jelena Kornej, Boston University; Nicole Spartano, Boston University; David McManus, University of Massachusetts; Emily Manders, Boston University; Vik Kheterpal, Care Evolution; Chris Nowak, Care Evolution; Joanne M. Murabito, Section of General Internal Medicine, Department of Medicine, Boston University; Chunyu Liu, Department of Biostatistics, Boston University School of Public Health, Boston
25:	Causal Effects in Twin Studies: the Role of Interference Bonnie Smith, Johns Hopkins Bloomberg School of Public Health; Elizabeth Ogburn, Johns Hopkins Bloomberg School of Public Health; Saonli Basu, Division of Biostatistics, University of Minnesota; Matthew McGue, University of Minnesota; Daniel O Scharfstein, Johns Hopkins University
27:	A Robust Test for Additive Gene-Environment Interaction Under the Trend Effect of Genotype Using an Empirical Bayes-Type Shrinkage Estimator Nilotpal Sanyal, Stanford University School of Medicine; Valerio Napolioni, Stanford University School of Medicine; Matthieu de Rochemonteix, Stanford University School of Medicine; Michaël E. Belloy, Stanford University School of Medicine; Michael D. Greicius, Stanford University School of Medicine; Nilanjan Chatterjee, Johns Hopkins University; Summer Han, Stanford University
28:	Inferences on the Number of Categories in Hematopoietic Stem Cell Barcoding Data Siyi Chen, Rice University; Marek Kimmel, Rice University; Katherine King, Baylor College of Medicine
29:	Integration of Conflicting Exposure Data from Multiple Sources Jung Yeon Won; Brisa Sanchez, Drexel University; Michael R Elliott, University of Michigan
30:	False Discovery Rate (FDR) Control in Microbiome Analysis with Phylogenetic Tree Information Xuechan Li, Duke University; Kouros Owzar, Duke University; Anthony Sung, Duke University; Jichun Xie, Duke University
31:	Identification of Specific MRNA Associated with Lymph Node Metastasis in Pancreatic Cancer Using Predictive Models Nancy Suralik, Office of the State Comptroller, Medical Fraud Division; Samiran Sinha, Texas A&M; Sanjukta Chakraborty, Medical Physiology, College of Medicine , Texas A&M University; Gordon Olwell, Data Scientist
32:	An EM-Based Method for Genotyping and SNP Discovery in Allotetraploids Yudi Zhang
33:	Adapting to Unknown Genetic Effects for Novel Gene Detection Using GWAS Summary Data Xiaohui Chen; Zheyang Wu, Worcester polytechnic Institute
34:	Molecular Signature Predictive of Survival in Metastatic Cutaneous Melanoma Yuna Kim, Drexel University, Dornsife School of Public Health; Issa Zakeri, Drexel University, Dornsife School of Public Health; Sina Nassiri, Bioinformatics Core Facility, The Swiss Institute of Bioinformatics (SIB)
35:	Significant Gene Array Analysis and Cluster-Based Random Forest Modeling for Breast Cancer Relapse Prediction Myrine Barreiro-Areval, University of Texas Rio Grande Valley
36:	Correlation-Based Pathway Analysis for the Integration of Metabolome and Microbiome Data Bridget Lin, University of North Carolina at Chapel Hill; Hunyong Cho; Lara Heimisdottir, University of North Carolina at Chapel Hill; Kimon Divaris, University of North Carolina at Chapel Hill; Di Wu, University of North Carolina at Chapel Hill
37:	Trajectory Based Gene Regulation Inference on Single Cell RNA-Seq Wenxuan Deng, Yale University; Biqing Zhu, Yale University; Taylor S Adams, Yale University School of Medicine; Naftali Kaminski, Yale University School of Medicine; Hongyu Zhao, Yale University
38:	Bayesian Hierarchical Model for Single Cell Hi-C Matrix Imputation and Its Impact on Chromosome 3D Structure Qing Xie, The Ohio State University; Chenggong Han, Ohio State University; Shili Lin, Ohio State University
39:	Fractal Dimension as a Dimensionality Reduction Tool in Gene Expression Analysis Hansapani Rodrigo, University of Texas Rio Grande Valley; Manoj Peiris, University of Texas Rio Grande Valley; Myrine Barreiro-Areval, University of Texas Rio Grande Valley; Rebecca Bernal, University of Texas Rio Grande Valley
40:	Bayesian Causal Mediation Analysis with Multiple Mediators Tianming Gao, AbbVie
42:	Comparative Analysis of Gene Regulatory Network Reconstruction Approaches for Single-Cell RNA Sequencing Data Satabdi Saha, Michigan State University; Tapabrata (Taps) Maiti, Michigan State University; Sudin Bhattacharya, Michigan State University
43:	Scalable Estimation for Bayesian Latent Class Phenotyping of Electronic Health Records Using a Variational Bayes (VB) Approach Jeong Hwan Kook, Merck & Co Inc; Richard Baumgartner, Merck; Vladimir Svetnik, Merck & Co., Inc.; Rebecca A Hubbard, University of Pennsylvania
44:	Fine-Tuning Polygenic Risk Scores with GWAS Summary Statistics Zijie Zhao, University of Wisconsin-Madison; Yanyao Yi, Eli Lilly and Company; Qiongshi Lu, University of Wisconsin-Madison
45:	Applying Statistical Learning Algorithms on the Prediction of Response to Immune Checkpoint Blockade Therapy Tiantian Zeng, University of Kentucky; Chi Wang, University of Kentucky
46:	An Unsupervised Tool for Single-Cell Clustering Result Evaluation Jiyuan Fang, Duke University; Jichun Xie, Duke University; Qijing Li, Duke University; Cliburn Chan, Duke University
47:	Robust Estimation of Genetic Covariance in High-Dimensional Generalized Linear Model Jianqiao Wang, University of Pennsylvania
48:	Leveraging Spatial Correlation to Improve Estimation of Cell Type Specific Methylation from Whole Blood Richard Meier, University of Kansas Medical Center; Jeffrey Thompson, University of Kansas Medical Center; Devin Koestler, University of Kansas Medical Center
49:	Automatic Cell Type Annotation of Single-Cell RNA Sequencing Data Using Deconvolution Methods Amelia Schroeder, University of Pennsylvania School of Medicine; Mingyao Li, University of Pennsylvania

JSM 2020 Online Program

Activity Details

American Statistical Association