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Keyword Search Criteria: logistic returned 61 record(s)
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Sunday, 07/29/2018
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Discrete Principal Component Analysis for Population Stratification
Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
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Discrete Principal Component Analysis for Population Stratification
Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
2:05 PM
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Application of Propensity Score Quintile Matching for Baseline Parameters in a Medical Device Trial Design
Hong Wang, Boston Scientific Corporation; Songtao Jiang, Boston Scientific; Peter Lam, Boston Scientific
2:05 PM
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Statistical Interactions from a Growth Curve Perspective
Jaya M Satagopan, Memorial Sloan Kettering Cancer Center; Sean Devlin, Memorial Sloan Kettering Cancer Center
2:20 PM
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Statistical Modeling of Animal Movement
Louis-Paul Rivest, Université Laval
2:55 PM
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Optimal Scaling for a Logistic Regression Model with Ordinal Covariates
Sanne JW Willems, Leiden University; Marta Fiocco, Leiden University; Jacqueline J Meulman, Leiden University & Stanford University
3:05 PM
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Monday, 07/30/2018
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Predicting Hospital Readmission for Diabetes Patients by Classical and Machine Learning Approaches
Gabrielle LaRosa, University of Pittsburgh; Chathurangi Pathiravsan, Southern Illinois University Carbondale; Rajapaksha Wasala M Anusha Madushani, University of Florida
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Effect of Longitudinal Intracranial Pressure on Ordinal Glasgow Outcome Scale Using a Joint Model Approach
Maria Laura Rubin, The University of Texas MD Anderson Cancer Center; Wenyaw Chan, University of Texas Health Science Center at Houston; Jose-Miguel Yamal, The University of Texas Health Science Center at Houston; Claudia Sue Robertson, Baylor College of Medicine
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Using Modified Competitive Swarm Optimizer to Find D-Optimal Designs for Complicated Logistic Models
Zizhao Zhang, UCLA; Weng Kee Wong, UCLA
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Horizontal and Vertical Effects in a Logistic Regression Model
Diana Gonzalez, Arizona State University
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Analysis of Matched Case-Control Study with a Misclassified Exposure
Samiran Sinha, Texas A & M University; Christopher Manuel, Texas A&M University; Suojin Wang, Texas A&M University
8:35 AM
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A Bayesian Logistic Model with Covariate to Identify Optimal Dose for Heterogeneous Population in Phase I Oncology Trial
Xin Wei, Celgene Corporation; Michael Branson, celgene corporation
8:50 AM
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Comparison of Empirical Size and Power of Goodness-of-Fit Tests for Multiple Logistic Regression Model Under Varied Sample Size Conditions
Pengcheng Lu; Jonathan D Mahnken, University of Kansas Medical Center
9:05 AM
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Improving the Hosmer-Lemeshow Goodness-of-Fit Test
Nikola Surjanovic; Thomas Loughin, Simon Fraser University
9:20 AM
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Evaluation of Nonresponse Adjustment Options on the National Health and Nutrition Examination Survey
William Cecere, Westat; Minsun Riddles, Westat; Te-Ching Chen, National Center for Health Statistics
9:20 AM
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Conquering Massive Clinical Models with GPU Parallelized Logistic Regression
Yuxi Tian, UCLA; Trevor Shaddox, UCLA; Marc Suchard, UCLA
9:25 AM
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Survival Analysis Applied to Agricultural Sciences
Jung Ae Lee, University of Arkansas Agriculture Statistics Laboratory
9:35 AM
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Effect of Longitudinal Intracranial Pressure on Ordinal Glasgow Outcome Scale Using a Joint Model Approach
Maria Laura Rubin, The University of Texas MD Anderson Cancer Center; Wenyaw Chan, University of Texas Health Science Center at Houston; Jose-Miguel Yamal, The University of Texas Health Science Center at Houston; Claudia Sue Robertson, Baylor College of Medicine
10:35 AM
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Using Modified Competitive Swarm Optimizer to Find D-Optimal Designs for Complicated Logistic Models
Zizhao Zhang, UCLA; Weng Kee Wong, UCLA
10:45 AM
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Horizontal and Vertical Effects in a Logistic Regression Model
Diana Gonzalez, Arizona State University
10:50 AM
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Bayesian Design of Experiments with Multiple Priors for Kaggle Competition Design
Kevin Randal Quinlan, The Pennsylvania State University; Christine M Anderson-Cook, Los Alamos National Laboratory
11:05 AM
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The Hot Hand Theory in Hockey: a Multilevel Logistic Regression Analysis
Likang Ding; Armann Ingolfsson, University of Alberta; Ivor Cribben, University of Alberta; Monica Tran, University of Alberta
11:15 AM
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Complexity in Simple Regression Models with Binary Disease Outcome
Mei-Cheng Wang, Johns Hopkins University
2:05 PM
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Extension of Bayesian Logistic Regression Model (BLRM) for Dose Timing Selection in Oncology Phase I Combination Studies
Yiyun Zhang, Novartis; Nigel Yateman, Novartis; Fang Xiang, Novartis; Lan Yi, Novartis; Kapildeb Sen, Novartis; Beat Neuenschwander, Novartis
2:05 PM
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A Default Prior for the Intercept Parameter in Logistic Regression
Philip Boonstra, University of Michigan; Ananda Sen, University of Michigan
2:25 PM
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Greedy Active Learning Algorithm for Logistic Regression Models
Ray-Bing Chen, National Cheng Kung University, Taiwan; Hsiang-Ling Hsu, National University of Kaohsiung; Yuan-Chin Ivan Chang, Academia Sinica
2:35 PM
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Statistical Approaches for Assessing the Utility of Urinary Glycosaminoglycans as a Surrogate Endpoint in Clinical Trials
Di Xiao, The Food and Drug Adminstration; Yeh-Fong Chen, US FDA; Min Min, U.S. Food and Drug Administration, CDER/OTS/OB
3:05 PM
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Tuesday, 07/31/2018
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The Pythagorean Law of Mutual Information Identity: A New Look at Logistic Regression Parameters
Michelle Liou, Academia Sinica; Jiun-Wei Liou, Academia Sinica; Philip E. Cheng, Academia Sinica
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Development and Comparison of Predictive Models for Woody Breast in Commercial Broilers
Andy Mauromoustakos, Univ. of Arkansas; JUAN P CALDAS-CUEVA, University of Arkansas; CASEY OWENS-HANNING, University of Arkansas
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Analysis of Crashes at Intersections Involving Pedestrians and Bicyclists
Peter Hovey, University of Dayton; Deogratias W. Eustace, University Of Dayton; Abdulaziz W. Alshehri, University Of Dayton
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Improving a Predictive Model of Student Progress in an Online Course by Adding Learned Features from Unstructured Text Data
Huafeng Zhang, The Refugee Center Online
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Using Logistical Regression to Build a Better Diathesis Model of Dupuytren's Contracture Recurrence
Brian Cohen, ACI Clinical
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Application of a Method for Identifying Disease Subtypes That Are Etiologically Heterogeneous
Emily Zabor, Memorial Sloan Kettering Cancer Center; Colin B Begg, Memorial Sloan Kettering Cancer Center
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Statistical Approaches for Assessing the Utility of Urinary Glycosaminoglycans as a Surrogate Endpoint in Clinical Trials
Di Xiao, The Food and Drug Adminstration; Yeh-Fong Chen, US FDA; Min Min, U.S. Food and Drug Administration, CDER/OTS/OB
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Logistic Regression with a Right-Skewed Exposure Variable Measured in Pools and Subject to Errors
Dane R Van Domelen, Rollins School of Public Health, Emory University; Emily M Mitchell, Agency for Healthcare Research and Quality; Enrique F Schisterman, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Neil Perkins, DIPHR/NICHD/NIH; Robert Lyles, Emory University
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Using Statistical Approaches to Stratify Hospital-Readmission Risk After Hip Fracture
Qingqing Dai, Oklahoma State University; Zhuqi Miao, Oklahoma State University; Lan Zhu, Oklahoma State University
8:50 AM
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Logistic Regression with a Right-Skewed Exposure Variable Measured in Pools and Subject to Errors
Dane R Van Domelen, Rollins School of Public Health, Emory University; Emily M Mitchell, Agency for Healthcare Research and Quality; Enrique F Schisterman, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Neil Perkins, DIPHR/NICHD/NIH; Robert Lyles, Emory University
9:00 AM
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Application of a Method for Identifying Disease Subtypes That Are Etiologically Heterogeneous
Emily Zabor, Memorial Sloan Kettering Cancer Center; Colin B Begg, Memorial Sloan Kettering Cancer Center
9:55 AM
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Informative Grouping for Regression
Juexin Lin, University of South Carolina; Dewei Wang, University of South Carolina
10:05 AM
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Using Logistical Regression to Build a Better Diathesis Model of Dupuytren's Contracture Recurrence
Brian Cohen, ACI Clinical
10:55 AM
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Improving a Predictive Model of Student Progress in an Online Course by Adding Learned Features from Unstructured Text Data
Huafeng Zhang, The Refugee Center Online
11:05 AM
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Bayesian Inference for the Relationship Between Two Categorical Variables with Covariates for Clustered Data
Dilli Bhatta, University of South Carolina Upstate
11:55 AM
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A Statistical Comparison of Call Volume Uniformity Due to Mailing Strategy
Andrew Raim, U.S. Census Bureau; Elizabeth Nichols, U.S. Census Bureau; Thomas Mathew, University of Maryland, Baltimore County
2:35 PM
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Simulation-Selection-Extrapolation Estimator for High-Dimensional Errors-In-Variables Models
Linh Nghiem, Southern Methodist University; Cornelis Potgieter, Southern Methodist University
2:50 PM
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Wednesday, 08/01/2018
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A Weighted Kernel Machine Regression Approach to Environmental Pollutants and Infertility
Zhen Chen, NICHD/NIH; Wei Zhang, BBB/DIPHR/NICHD; Aiyi Liu, BBB/DIPHR/NICHD; Germaine Buck Louis, George Mason University
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Exposure-Response Analysis with Random Forest
Zifang Guo, Merck; Thomas Jemielita, Merck & Co.; John Kang, Merck
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A Data-Driven Approach for Assessing the Risk of Dengue Transmission Using High-Resolution Weather Data
Chathurika Hettiarachchige, IBM Research - Australia; Roslyn Hickson, IBM Research - Australia; Stefan von Cavallar, IBM Research - Australia; Timothy Lynar, IBM Research - Australia; Manoj Gambhir, IBM Research - Australia
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Statistical Inference for Big Data via Optimal Subsampling
HaiYing Wang, University of Connecticut
8:35 AM
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Model Compatible Multiple Imputation Method for Minimizing the Impact of Covariate Detection Limit in Logistic Regression
Shahadut Hossain, UAE University
8:35 AM
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A Weighted Kernel Machine Regression Approach to Environmental Pollutants and Infertility
Zhen Chen, NICHD/NIH; Wei Zhang, BBB/DIPHR/NICHD; Aiyi Liu, BBB/DIPHR/NICHD; Germaine Buck Louis, George Mason University
8:35 AM
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A Data-Driven Approach for Assessing the Risk of Dengue Transmission Using High-Resolution Weather Data
Chathurika Hettiarachchige, IBM Research - Australia; Roslyn Hickson, IBM Research - Australia; Stefan von Cavallar, IBM Research - Australia; Timothy Lynar, IBM Research - Australia; Manoj Gambhir, IBM Research - Australia
8:55 AM
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Selection of Proposal Distributions for Multiple Importance Sampling
Vivekananda Roy, Iowa State University; Evangelos Evangelou, University of Bath
9:35 AM
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Exposure-Response Analysis with Random Forest
Zifang Guo, Merck; Thomas Jemielita, Merck & Co.; John Kang, Merck
10:00 AM
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Correct Model Selection in Big Data Analyzes
Katherine Thompson, University of Kentucky
11:50 AM
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Achieving Regulatory Approvals Without a Randomized Control Study in Rare Infectious Disease
Masanori Ito, Astellas Pharma; Misun Yu Lee, Astellas Pharma
2:30 PM
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Bias Reduction in Logistic Regression with Missing Responses When the Missing-Data Mechanism Is Non-Ignorable
Vivek Pradhan
2:35 PM
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Evaluating the Census Planning Database, MSG, and Paradata as Predictors of Household Propensity to Respond
Xiaoshu Zhu, Westat; Robert Baskin, Westat; David Morganstein, Westat
2:50 PM
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