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* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Calibration returned 58 record(s)
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Sunday, 07/29/2018
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Uncertainty Quantification of Stochastic Computer Model for Binary Black Hole Formation
Luyao Lin, Simon Fraser University; Jim Barrett, University of Birmingham; Derek Bingham, Simon Fraser University; Ilya Mandel, University of Birmingham
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Regression Calibration to Address Error Prone Time-To-Event Outcomes
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
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Model Calibration of a Protein-Signaling Network
Derek Bingham, Simon Fraser University; David Alexander Campbell, Simon Fraser University; David C. Clarke, Simon Fraser University; Mike Grosskopf, Simon Fraser University; Luyao Lin, Simon Fraser University; Biljana Jonoska Stojkova , University of British Columbia
2:05 PM
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Regression Calibration to Address Error Prone Time-To-Event Outcomes
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
2:05 PM
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Practical Approaches to Performance Rankings
Alan Roshwalb, Ipsos; John Paul Vidmar, Ipsos Public Affairs; Robert Petrin, Ipsos Public Affairs
5:05 PM
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Monday, 07/30/2018
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Empirical Evaluation for Platt Scaling and Isotonic Regression
Weihua Shi, SAS Institute, Inc.
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Uncertainty Quantification for Fission Product Yield Curves
Jason Bernstein, Lawrence Livermore National Laboratory; Nicolas Schunck, Lawrence Livermore National Laboratory
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Multi-Scale Uncertainty Quantification in the Physical Sciences and Engineering for Complex Models
K. Sham Bhat, Los Alamos National Laboratory
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Assessing Risk Score Calculation in the Presence of Uncollected Risk Factors
Alice Toll, Vanderbilt University; Dandan Liu, Vanderbilt University Medical Center
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Investigation of Alternative Calibration Estimators in the Presence of Nonresponse
Daifeng Han, Westat; Richard Valliant, University of Michigan
8:35 AM
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Computer Model Calibration to Enable Disaggregation of Chemical Spectra
David Stenning, Imperial College London
9:35 AM
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A Geometric Approach for Calibrating Computer Models with Misaligned Functional Output
Lauren Hund; James Derek Tucker, Sandia National Laboratories; Justin Brown, Sandia National Laboratories
10:35 AM
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Bayesian Emulation and Calibration of an Individual-Based Model Simulation of Microbial Communities
Oluwole Oyebamiji, Newcastle University; Darren James Wilkinson, Newcastle University
10:35 AM
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Design and Analysis Considerations for Studies Involving Pooled Biomarker Data
Abigail Sloan, Harvard T.H. Chan School of Public Health; Molin Wang, Harvard T.H. Chan School of Public Health; Mitchell H. Gail, Division of Cancer Epidemiology and Genetics, NCI, NIH
10:50 AM
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Statistically Integrated Publication System for the Economic Census Synthetic Microdata
Hang Joon Kim, University of Cincinnati; Katherine J Thompson, U.S. Census Bureau
11:15 AM
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Statistical Methods for Pooling Categorical Biomarkers from Multiple Studies
Xiao Wu, Harvard University; Molin Wang, Harvard T.H. Chan School of Public Health
11:20 AM
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Uncertainty Quantification of Injury Risk Measures
Dorin Drignei, Oakland University
11:35 AM
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Optimization-Based Calibration of Simulation Input Models
Henry Lam, Columbia University; Aleksandrina Goeva, Broad Institute; Huajie Qian, Columbia University; Bo Zhang, IBM Research AI
11:35 AM
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Design-Based Alternative Calibration Weighting Under Nonresponse in Survey Sampling
Per Andersson, Stockholm University
2:20 PM
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A Simulation Study to Evaluate How Sample Weight Adjustment with Prevalence Calibration for the National Health and Nutrition Examination Survey (NHANES) Affects Nonresponse Bias
Te-Ching Chen, CDC/NCHS; Jennifer Parker, CDC/NCHS; Tala Fakhouri, CDC/NCHS
2:25 PM
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Strategies for Minimizing Unequal Weighting Effects in Two-Phase Sampling for Nonresponse
Dan Liao, RTI International; Paul Biemer, RTI Internatinoal; Darryl Cooney, RTI International
2:50 PM
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Design of Experiments for the Calibration of Computational Models
David Woods, University of Southampton; Yiolanda Englezou, University of Southampton; Timothy Waite, University of Manchester
2:55 PM
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Multiple Imputation Methods Addressing Planned Missingness in a Multi-Phase Survey
Irina Bondarenko, University of Michigan; Yun Li, University of Michigan; Paul Imbriano, University of Michigan
3:20 PM
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Tuesday, 07/31/2018
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Latent Class Analysis with a Calibrated Conditional Independence Assumption
Joseph Kang, Centers for Disease Control & Prevention; Tandin Dorji, Oak Ridge Institute for Science and Education (ORISE)
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Analyzing the Evolution of Media Narratives Following Mass Shooting Events Using Modern Bayesian Statistical Methods
Thomas Belin, UCLA; Jay Xu
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A Simulation Study to Evaluate How Sample Weight Adjustment with Prevalence Calibration for the National Health and Nutrition Examination Survey (NHANES) Affects Nonresponse Bias
Te-Ching Chen, CDC/NCHS; Jennifer Parker, CDC/NCHS; Tala Fakhouri, CDC/NCHS
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Design-Based Alternative Calibration Weighting Under Nonresponse in Survey Sampling
Per Andersson, Stockholm University
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Producing Subnational Estimates from the National Crime Victimization Survey
Andrew Moore, RTI International; Marcus Berzofsky, RTI International; George Couzens, RTI International; Stephanie Zimmer, RTI International; Caroline Scruggs, RTI International
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Multiple Imputation Methods Addressing Planned Missingness in a Multi-Phase Survey
Irina Bondarenko, University of Michigan; Yun Li, University of Michigan; Paul Imbriano, University of Michigan
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Model Calibration with Censored Data
Shan Ba, The Procter & Gamble Company; Fang Cao, Georgia Institute of Technology; William Brenneman, The Procter & Gamble Company; Roshan Joseph Vengazhiyil, Georgia Institute of Technology
8:35 AM
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On the Use of Raking to Improve Regression Calibration: A Flexible Method to Address Error-Induced Bias Efficiently
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
9:00 AM
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Applications of the Parametric Approach to Estimation of Totals and Means for Complex Survey Data in the Presence of Full Response
Ismael Flores Cervantes, Westat
9:05 AM
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Recent Developments in Modeling Nonlinear Relationships in the Presence of Measurement Error
Ruth Keogh, London School of Hygiene & Tropical Medicine; Christen Gray, London School of Hygiene & Tropical Medicine
9:50 AM
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Producing Subnational Estimates from the National Crime Victimization Survey
Andrew Moore, RTI International; Marcus Berzofsky, RTI International; George Couzens, RTI International; Stephanie Zimmer, RTI International; Caroline Scruggs, RTI International
10:45 AM
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The Utility of Using Web Surveys to Measure and Estimate Health Outcomes, a Pilot Study
Yulei He, CDC/NCHS; Hee-Choon Shin, CDC/NCHS; Bill Cai, CDC/NCHS; Jennifer Parker, CDC/NCHS
11:35 AM
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Multivariate Calibration with Robust Signal Regression
Bin Li, Louisiana State University ; Brian D. Marx, Louisiana State University; David C Weindorf, Texas Tech University; Somsubhra Chakraborty, Indian Institute of Technology Kharagpur
2:20 PM
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Computer Model Calibration of Static Systems Using Sequential Monte Carlo Methods
Murali Haran, Penn State University; Ben Seiyon Lee, Penn State University; Klaus Keller, Penn State University
2:25 PM
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Recalibrating Prognostic Risk Score Adapted to EHR Data
Dandan Liu, Vanderbilt University Medical Center; Hui Nian, Vanderbilt University Medical Center; Qingxia Chen, Vanderbilt University
3:05 PM
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A Generalization of the Horvitz-Thompson Estimator
Alain Theberge
3:35 PM
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Wednesday, 08/01/2018
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Calibrating Big Data for Population Inference: Applying Quasi-Randomization Approach to Naturalistic Driving Data Using Bayesian Additive Regression Trees
Ali Rafei, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
10:35 AM
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Robust Clustering Using Power Posteriors: Calibration and Inference
Jeffrey Miller, Harvard School of Public Health; David B Dunson, Duke University
10:55 AM
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Using Calibration Weighting in Samples with a Non-Probability Component
Jamie Ridenhour, RTI International; Phil Kott, RTI
10:55 AM
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Sparse Functional Partial Least Squares Method for Spectral Analysis
Jiguo Cao, Simon Fraser University; Tianyu Guan, Simon Fraser University; Kevin Groves, FPInnovation; Martin Feng, FPInnovation
11:00 AM
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Deep Learning for Data Imputation and Calibration Weighting
Yijun Wei, NISS; Luca Sartore, National Institute of Statistical Sciences; Jake Abernethy, National Agricultural Statistics Service, United States Department of Agriculture; Darcy Miller, National Agricultural Statistics Service; Kelly Toppin, National Agricultural Statistics Service; Clifford Spiegelman, Texas A&M University; Michael Hyman, USDA-NASS
11:15 AM
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Time-Constrained Predictive Modeling on Large and Continuously Updating Financial Data Sets
Bernard Lee, HedgeSPA Limited; Nicos Christofides, Imperial College London
11:20 AM
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A Global Convergent Algorithm for Integer Calibration Weighting
Kelly Toppin, National Agricultural Statistics Service; Luca Sartore, National Institute of Statistical Sciences; Clifford Spiegelman, Texas A&M University
11:35 AM
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Combining Probability and Non-Probability Samples: Theory and Practice
Michael Elliott, University of Michigan; Richard Valliant, University of Michigan; Jack Chen, SurveyMonkey
2:05 PM
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Astrophysical Deconvolution When the Convolution Function Is Imprecise
David A van Dyk, Imperial College London
2:25 PM
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Evaluating Disease Prediction Models Using a Cohort Whose Covariate Distribution Differs from That of the Target Population
Alice S Whittemore, Stanford University
2:55 PM
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Model-Based Crop Yield Forecasting: Adjustment for Within-State Heterogeneity, Covariate Selection and Variance Estimation
Habtamu Benecha, USDA National Agricultural Statistics Service; Nathan Cruze, USDA National Agricultural Statistics Service; Nell Sedransk, National Institute of Statistical Sciences (NISS)
3:20 PM
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Calibrating Components of Coverage from a Post-Enumeration Survey
Timothy Kennel, U.S. Census Bureau
3:25 PM
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Thursday, 08/02/2018
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Validation of 2015 Residential Energy Consumption Survey End-Use Estimates by Bayesian Calibration Models
Hiroaki Minato, U. S. Energy Information Administration (EIA)
9:05 AM
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Bayesian Filtering and Model Calibration Approaches to Model an Epidemic Over Space and Time
David Higdon, Virginia Tech; Arindam Fadikar, Virginia Tech; Jonathan Stroud, Georgetown University
9:55 AM
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Ad-Hoc Calibration for Rounding Rules with Nonlinear Benchmarks
Luca Sartore, National Institute of Statistical Sciences; Nathan Cruze, USDA National Agricultural Statistics Service; Habtamu Benecha, USDA National Agricultural Statistics Service; Andreea Erciulescu, National Institute of Statistical Sciences; Kelly Toppin, National Agricultural Statistics Service; Clifford Spiegelman, Texas A&M University
10:35 AM
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Scoring Rules for Probabilistic Binary Classification
Matthew Parry, University of Otago
11:00 AM
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Fresh Ideas for Tuning Parameter Calibration
Johannes Lederer, Ruhr-University Bochum
11:15 AM
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Calibrating Forecasts to Volatile Time Series
Janice Lent, U.S. Energy Information Administration
11:35 AM
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Calibrating to Estimated Totals: Lessons from the American Teacher Panel
Michael Robbins, RAND Corporation
11:35 AM
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