Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
Keyword Search Criteria: Bayesian method returned 32 record(s)
|
Sunday, 07/30/2017
|
Computer Model Calibration to Enable Disaggregation of Large Parameter Spaces, with Application to Mars Rover Data
David Craig Stenning, SAMSI/Duke University; Working Group 1 ASTRO Program, SAMSI
|
Bayesian Inference of Accelerated Life Tests for Lognormal Life Distribution and Inverse Power Relationship
Ananda Jayawardhana, Pittsburg State University
2:20 PM
|
Bayesian Methods for Analysis of Biosimilar Phase III Trials
Robert Weiss, UCLA Fielding School of Public Health; Xiaomao Simon Xia, University of Missouri; Nan Zhang, Amgen Inc; Hui Wang, Amgen Inc; Eric Chi, Amgen, Inc.
2:35 PM
|
More Information Is Better! Where Do We Get it and How Do We Use It?
Stephanie Michelle Coffey, U.S. Census Bureau; JPSM University of Maryland
4:05 PM
|
Using Bayesian Methods to Rank Cases Based on Response Propensity During Data Collection
James Wagner, University of Michigan
5:05 PM
|
Monday, 07/31/2017
|
Applying Bayesian Methodology to Precision Medicine
Judy X. Li, Regeneron Pharmaceuticals
|
Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics
Xiao Li, University of Texas, School of Public Health, Department of Biostatistics; Michele Guindani, University of California, Irvine; Chaan Ng, The University of Texas MD Anderson C; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
|
Bayesian Methods for Discovering Structure in Neural Spike Trains
Scott Linderman
|
Bayesian Methods for Discovering Structure in Neural Spike Trains
Scott Linderman
9:40 AM
|
Photometric Classification of Supernova with Biased Training Set
David Van Dyk, Imperial College London; Roberto Trotta, Imperial College London; Esben Revsbech, Imperial College London
10:35 AM
|
Bayesian Inference in Stochastic Reaction Networks
Daniel Linder, Medical College of Georgia - Augusta, GA; Grzegorz Rempala, Mathematical Biosciences Institute, Ohio State University
11:15 AM
|
Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics
Xiao Li, University of Texas, School of Public Health, Department of Biostatistics; Michele Guindani, University of California, Irvine; Chaan Ng, The University of Texas MD Anderson C; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
11:20 AM
|
Using Bayesian Methods to Incorporate Historical Information on Control Rate and Treatment Effect: An HIV-Paediatric Trial
Clara Dominguez Islas, MRC Biostatistics Unit; Nicky Best, GlaxoSmithKline; Rebecca Turner, MRC Biostatistics Unit; Naomi Givens, GlaxoSmithKline; Rimgaile Urbaityte, GlaxoSmithKline; Sophie Barthel, GlaxoSmithKline; Adrian Mander, MRC Biostatistics Unit
11:35 AM
|
Shedding a Bayesian Light on the Evidence-Based Medicine
J. Jack Lee, UT MD Anderson Cancer Ctr.
2:35 PM
|
A Bayesian Method for Detecting Pairwise Associations in Compositional Data
Emma Schwager, Harvard School of Public Health; Steffen Ventz, University of Rhode Island; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
2:45 PM
|
Re-Analyzing Clinical Trials Through the Bayesian Lens
Margaret Gamalo-Siebers, Eli Lilly; Karen Price, Eli Lilly; Stephen J Ruberg, Eli Lilly and Co
2:50 PM
|
Tuesday, 08/01/2017
|
Current Policies and Landscape for Bayesian Methods in Drug Approval
Fanni Natanegara, Eli Lilly and Company
|
Adjusting for Misclassification in Observational Studies: Getting from Cleaner to Messier Scenarios
Tanja Högg, University of British Columbia; Paul Gustafson, University of British Columbia; Yinshan Zhao, BC Center for Improved Cardiovasular Health ; John Petkau, University of British Columbia; Helen Tremlett, University of British Columbia
8:35 AM
|
A Bayesian Approach to Optimal Treatment Allocation
Saptarshi Chatterjee, Northern Illinois University; Sanjib Basu, University of Illinois At Chicago
9:35 AM
|
Semiparametric Approaches for Matched Case-Control Studies with Error-In-Covariates
Nels Johnson; Inyoung Kim, Virginia Tech
11:35 AM
|
Longitudinal Joint Clustering via Dirichlet Process Mixture Model
Hongmei Zhang, University of Memphis; Shengtong Han, University of Chicago; Hasan Arshad, University of Southampton
2:20 PM
|
Wednesday, 08/02/2017
|
Generating Partially Synthetic Geocoded Public-Use Data with Decreased Disclosure Risk Using Differential Smoothing
Harrison Quick, Drexel University; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri
9:15 AM
|
Informing a Risk Prediction Model for Binary Outcomes with External Coefficient Information
Wenting Cheng, Department of Biostatistics, University of Michigan, Ann Arbor; Jeremy M. G. Taylor, University of Michigan; Bhramar Mukherjee, Department of Biostatistics, University of Michigan, Ann Arbor
10:55 AM
|
A Bayesian Methodology for High-Dimensional Discrete Graphical Models with an Application to Protein Structure Prediction
Anwesha Bhattacharyya; Yves Atchade, University of Michigan
2:20 PM
|
Bayesian Methods for Non-Ignorable Dropout in Joint Models in Smoking Cessation Studies
Jeremy Gaskins, University of Louisville; Michael J Daniels, University of Texas at Austin
3:05 PM
|
Improved Acceptance Limits for ASTM Standard E2810
Richard Lewis, GlaxoSmithKline; Ailin Fan, North Carolina State University
3:05 PM
|
Use of Historical Control Data in the Analysis of a Non-Inferiority Trial
Isaac Nuamah, Janssen R & D; Youping Huang, Janssen R&D; Yevgen Tymofyeyev, Janssen R&D
3:05 PM
|
Thursday, 08/03/2017
|
Imputation of Ordinal Data in the Agricultural Resource Management Survey Using Bayesian Methods
Christopher Burns, USDA-Economic Research Service; Sujit K Ghosh, North Carolina State University; Daniel Prager, USDA-Economic Research Service; Li Zhang, George Mason University
8:35 AM
|
Dynamic Prediction of Alzheimer's Disease Progression with Longitudinal Functional Joint Model
Sheng Luo, The University of Texas Health Science Center at Houston; Kan Li, The University of Texas Health Science Center at Houston
8:55 AM
|
Exploring New Estimation Techniques for the Monthly Wholesale Trade Survey
Joanna Lineback, U.S. Census Bureau; Martin Klein, U.S. Census Bureau; Schafer Joseph, U.S. Census Bureau
9:55 AM
|
Teaching Bayes: The Essential Parts
Rebecca C. Steorts, Duke University; Brenda Betancourt, Duke University
10:55 AM
|
Robust Estimation for the Annual Survey of Public Employment & Payroll Using Mixture of Linear Mixed-effects Models with the MCMC Procedure
Giang Trinh, Census Bureau; Bac Tran, US Census Bureau
11:50 AM
|
|
|