Keyword Search
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CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Logistic returned 68 record(s)
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Sunday, 07/28/2019
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Preference Probability Based on Ranks – A New Approach Using Logistic Regression with Zero Intercept
Oluwagbenga Agboola, University of Northern Colorado
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The Computational Performance of Machine Learning Methods in The Success Prediction of Kickstarter Campaigns
Michael Oduro-Safo, University of Northern Colorado; Han Yu, University of Northern Colorado
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Preference Probability Based on Ranks – A New Approach Using Logistic Regression with Zero Intercept
Oluwagbenga Agboola, University of Northern Colorado
2:05 PM
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Exploring RNA-Protein Interactions at Amino-Acid Level via a Multinoimal Logistic Regression Model with Latent Responses
Linxi Liu, Columbia University; Huijuan Feng, Columbia University; Chaolin Zhang, Columbia University
2:05 PM
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The Role of Time-Dependent Covariates in Models for the Risk of Repeated Events
Trent L Lalonde, University of Northern Colorado
2:25 PM
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Bayesian Hierarchical EMAX Model for Dose-Response in Early Phase Efficacy Clinical Trials
Byron Gajewski, University of Kansas Medical Center, The University of Kansas Cancer; Caitlyn Meinzer, Medical University of South Carolina; Scott Berry, Berry Consultants; Gayland L Rockswold, Hennepin County Medical Center; William G Barsan, University of Michigan; Frederick K Korley, University of Michigan; Renee' H Martin, Medical University of South Carolina
2:35 PM
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Bayesian Inference of Non-Probability Samples
ZHIQING XU, Worcester Polytechnic Institute; Balgobin Nandram, Worcester Polytechnic Institute
3:35 PM
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A Bayesian Approach to the Measurement –Error Problem in Regression
Ananda Jayawardhana, Pittsburg State University
4:20 PM
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Cross-Validation Nonparametric Bootstrap Study of the Linhart-Volkers-Zucchini Out-Of-Sample Prediction Error Formula for Logistic Regression Modeling
Richard Golden, University of Texas At Dallas; Shaurabh Nandy, Foxbat Research; Vishal Patel, Foxbat Research
5:05 PM
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Semiparametric Maximum Likelihood for Logistic Regression with Misclassified Response and Covariate Measurement Error
Sarah Lotspeich, Vanderbilt University; Bryan E Shepherd, Vanderbilt University School of Medicine; Pamela Shaw, University of Pennsylvania; Ran Tao, Vanderbilt University Medical Center
5:05 PM
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Sensitivity Testing: Issues and Solutions
David H. Collins, Los Alamos National Laboratory; Kimberly Kaufeld, Los Alamos National Laboratory; Michael S. Hamada, Los Alamos National Laboratory; Richard Warr, Brigham Young University
5:35 PM
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Monday, 07/29/2019
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Bayesian Approach to Partially Validated Binary Regression with Response and Exposure Misclassification of Longitudinal Data
Katrina Anderson, Marymount University; James D Stamey, Baylor University
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Some Results on Use-Availability Models for Presence-Only Data from Multiple Species
Nels Johnson, US Forest Service, Pacific Southwest Research Station
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On the Selection of Regression Model Using Machine Learning
Asanao Shimokawa, Tokyo University of Science; Etsuo Miyaoka, Tokyo University of Science
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Predicting Undergraduate Student Success Using Geographically Weighted Logistic Regression
James Roddy, University of Arkansas, Fayetteville; Samantha Robinson, University of Arkansas
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STATISTICAL MODELS to IDENTIFY STUDENT CHARACTERISTICS to TAILOR GRADUATION INITIATIVES
Ayona Chatterjee, California State University East Bay; Chinki Rai, CSUEB; Fanny Yeung, CSUEB
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Nested Logistic Regression Model for Multiclass Rare Event Data Using Classification Cost
Masaaki Okabe, Doshisha University; Hiroshi Yadohisa, Doshisha University
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Confusion for Good: Expanding the Bayesian Logistic Meta-Analysis from Odds Ratios to the Confusion Matrix
Thomas Gibson, UCLA
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Hot Deck Imputation Cells for the American Housing Survey
Chrystine Tadler, Insight Policy Research; Richard Griffiths, Insight Policy Research
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Bias Correction of Bounded Location Error in Binary Data
Nelson Walker, Kansas State University; Trevor Hefley, Kansas State University; Daniel Walsh, US Geological Survey
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A Nonlinear Regression and Experimental Design Approach for Nuclear Waste Glass Properties
Bryan Stanfill, Pacific Northwest National Lab; Greg Piepel, PNNL; Scott Cooley, PNNL; Charmayne Lonergan, PNNL; Jared Kroll, PNNL; John Vienna, PNNL
9:20 AM
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Variable Selection for Multinomial Logistic Regression Modeling to Assign One of Six Census Mindsets Using Big Data
Mary H. Mulry, U.S. Census Bureau; Yazmín A. García Trejo, U.S. Census Bureau; Nancy Bates, U.S. Census Bureau
9:50 AM
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Bias Correction of Bounded Location Error in Binary Data
Nelson Walker, Kansas State University; Trevor Hefley, Kansas State University; Daniel Walsh, US Geological Survey
10:35 AM
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Hot Deck Imputation Cells for the American Housing Survey
Chrystine Tadler, Insight Policy Research; Richard Griffiths, Insight Policy Research
10:40 AM
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Relative Risk Estimation Using Multiple Imputation with Logistic Regression and Discretization
Jay Xu, University of California, Los Angeles; Thomas Belin, UCLA
11:50 AM
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Bayesian Fused Lasso Regression for Dynamic Binary Networks
Brenda Betancourt, University of Florida
2:45 PM
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Imputation Models Using Computer Matching Results
Glenn Reisch, United States Census Bureau
3:35 PM
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Hyper Prior Dirichlet Partial Multinomial Logistic Regression Through Multiple Binary Responses for Mozambique HIV/AIDS
Diana Gonzalez, Arizona State University; Di Fang, University of Arkansas
3:40 PM
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Tuesday, 07/30/2019
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Space-Time Modeling of Tropical Cyclone Genesis Using a Semiparametric Generalized Linear Model
Suilou Huang, AIR-Worldwide; Suz Tolwinski-Ward, AIR-Worldwide; Michal Clavner, AIR-Worldwide
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Hyper Prior Dirichlet Partial Multinomial Logistic Regression Through Multiple Binary Responses for Mozambique HIV/AIDS
Diana Gonzalez, Arizona State University; Di Fang, University of Arkansas
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Development of an International Prostate Cancer Risk Tool Integrating Data from Multiple Heterogeneous Cohorts
Donna Ankerst, Technical University of Munich; Johanna Tolksdorf, Technical University of Munich
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The Impact of Vocational Rehabilitation Services and Demographic Factors Towards the Successful Employment Outcomes Among Hard-of-Hearing Individuals
Hansapani Rodrigo, University of Texas Rio Grande Valley; Shawn Saladin, Uniuversity of Texas Rio Grande Valley; Sergio Cuevas, Uniuversity of Texas Rio Grande Valley
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Experiences with Incorporating R into a Second-Level Biostatistics Course for MPH Students
Christine Mauro, Columbia University; Nicholas Williams, Columbia University; Anjile An, Columbia University
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Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates
Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
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Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study
Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
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Random Forests for Exploring Factors Driving Opioid Prescribing in National Outpatient Health Care Data Using Complex Survey Design
Yong Ma, FDA; JaeJoon Song, FDA
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The Use of Experimental Design and Bayesian Logistic Models in Defense Analysis: a Case Study
Keyla Pagan-Rivera
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Development of an International Prostate Cancer Risk Tool Integrating Data from Multiple Heterogeneous Cohorts
Donna Ankerst, Technical University of Munich; Johanna Tolksdorf, Technical University of Munich
8:35 AM
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Benchmark Analysis for Joint-Exposure Quantal Data in Quantitative Risk Assessment
Lucy Kerns, Youngstown State University
10:05 AM
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The Impact of Vocational Rehabilitation Services and Demographic Factors Towards the Successful Employment Outcomes Among Hard-of-Hearing Individuals
Hansapani Rodrigo, University of Texas Rio Grande Valley; Shawn Saladin, Uniuversity of Texas Rio Grande Valley; Sergio Cuevas, Uniuversity of Texas Rio Grande Valley
10:50 AM
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Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models
Rong Ma, Univ of Pennsylvania; T. Tony Cai, The Wharton School, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
10:50 AM
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Random Forests for Exploring Factors Driving Opioid Prescribing in National Outpatient Health Care Data Using Complex Survey Design
Yong Ma, FDA; JaeJoon Song, FDA
11:15 AM
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The Use of Experimental Design and Bayesian Logistic Models in Defense Analysis: a Case Study
Keyla Pagan-Rivera
11:30 AM
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Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates
Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
11:45 AM
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Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study
Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
11:55 AM
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Experiences with Incorporating R into a Second-Level Biostatistics Course for MPH Students
Christine Mauro, Columbia University; Nicholas Williams, Columbia University; Anjile An, Columbia University
12:00 PM
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Model-Assisted Sensitivity Analysis for Hidden Bias in CER
Bo Lu, The Ohio State University; Giovanni Nattino, The Ohio State University
2:30 PM
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Assessment of an Imputation Process Used in the 2017 Census of Agriculture
Tara Murphy, USDA National Agricultural Statistics Service; Habtamu Benecha, NASS/USDA; Denise A. Abreu, USDA National Agricultural Statistics Service; Darcy Miller, National Agricultural Statistics Service
2:50 PM
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Genome-Wide Detection of Allele-Specific Gene Expression by a Bayesian Logistic Regression Model
Tieming Ji, University of Missouri At Columbia; Jing Xie, University of Missouri at Columbia; Marco Ferreira, Virginia Tech
3:05 PM
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Wednesday, 07/31/2019
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A Novel Statistical Framework for Trio-Based Transcriptome-Wide Association Study
Kunling Huang, University of Wisconsin-Madison, Statistics Department
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Non-Abstinent Treatment Outcomes in Cannabis Use Disorder
Martina Pavlicova, Columbia University; Cale Basaraba, NYSPI; Daniel Brooks, NYSPI; John Mariani, NYSPI; Frances Levin, NYSPI
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An Analysis of “Weak Goals” as an Additional Tool for Evaluating Ice Hockey Goalies
Ryan Savitz, Neumann University; Helen Cooney, Neumann University; Mya McQueen, Neumann University
8:35 AM
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Baseline-Covariate Adjusted Confidence Interval for Proportional Difference Between Two Treatment Groups in Clinical Trials
JINGJING CHEN, Takeda Pharmaceuticals; Fang Liu, Merck
9:05 AM
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On Application of a Response Propensity Model to Estimation from Web Samples
Vladislav Beresovsky, National Center for Health Statistics
9:35 AM
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Power Curve Estimation Using Piecewise Logistic Gaussian Processes
Bani Mallick, Texas A&M University
9:50 AM
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Assessing Referee Bias in College Basketball
Joshua Patrick, Baylor University
9:50 AM
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Statistical Analysis of the 2016 Olympic Men’s Volleyball Data
Earvin Balderama, California State University, Fresno
10:05 AM
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Causal Inference Using Propensity Score Methods with Clustered Survey Data
Hyunshik James Lee, Westat; Duck-He Yang, Westat; Ning Rui, Westat
10:55 AM
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Efficient Sampling for Imbalanced Large Categorical Data Using Piece-Wise Deterministic Markov Chain Monte Carlo
Deborshee Sen, Duke University; Matthias Sachs, Duke University ; David Dunson, Duke University; Jianfeng Lu, Duke University
11:20 AM
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An Overview of the Assessment of Logistic Regression Models
Justin Shang, University of Wyoming; Covance Inc.; Tim Robinson, University of Wyoming; Shaun Wulff, University of Wyoming
12:05 PM
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Forecasting Seasonal Batting Outcomes via a Mixed Effects Multinomial-Logistic-Normal Model
Eric A. E. Gerber, Purdue University; Bruce A. Craig, Purdue University
2:35 PM
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Probability of Flaw Detection for Quasi-Separated Data
Christine Henry, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology
3:05 PM
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Thursday, 08/01/2019
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Monitoring Performances of Surgeons Using a New Risk-Adjusted Exponentially Weighted Moving Average Control Chart
Fah Fatt Gan, National University of Singapore
8:35 AM
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An Examination of the Association Between Alcohol Consumption and Type 2 Diabetes in the Framingham Heart Study
Saryet Kucukemiroglu, FDA; Tingting Hu, Florida State University; Elizabeth Slate, Florida State University
8:35 AM
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Estimating Disparities in Breast Cancer Mortality by Race and Ethnicity
Ronald Gangnon, University of Wisconsin; Chrstina Hunter Chapman, University of Michigan; Jennifer Bird, University of Wisconsin; Amy Trentham-Dietz, University of Wisconsin
8:50 AM
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Alternatives to Logistic Regression for Detecting Treatment by Covariate Interactions with Binary Endpoints
Radha Railkar, Merck & Co., Inc.; Devan Mehrotra, Merck & Co., Inc
10:50 AM
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Blasting Farmers with Email and Text Survey Notifications: Modeling Response Rate Effects
Tyler Wilson, USDA, NASS; Shane T. Ball, NASS; Benjamin Martin Reist, USDA, NASS
10:50 AM
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Efficient Fused Learning for Distributed Imbalanced Data
Yuanyuan Lin
11:15 AM
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