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Keyword Search Criteria: prediction returned 72 record(s)
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Sunday, 07/29/2018
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P-Value Estimation for the Risk Score of a Prediction Model
Heidi Chen, Vanderbilt University Medical Center; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center
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A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinally Measured Marker
Krithika Suresh, University of Michigan; Jeremy M.G. Taylor, University of Michigan; Alexander Tsodikov, University of Michigan
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Model Averaging in a Multiplicative Heteroscedastic Model
Alan Wan, City Univ of Hong Kong; Xinyu Zhang, Chinese Academy of Sciences; Yanyuan Ma, Penn State University
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Predictive Inference for Locally Stationary Time Series with an Application to Climate Data
Srinjoy Das, UCSD; Dimitris Politis, UCSD
2:05 PM
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A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinally Measured Marker
Krithika Suresh, University of Michigan; Jeremy M.G. Taylor, University of Michigan; Alexander Tsodikov, University of Michigan
2:10 PM
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P-Value Estimation for the Risk Score of a Prediction Model
Heidi Chen, Vanderbilt University Medical Center; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center
3:00 PM
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Model Averaging in a Multiplicative Heteroscedastic Model
Alan Wan, City Univ of Hong Kong; Xinyu Zhang, Chinese Academy of Sciences; Yanyuan Ma, Penn State University
3:25 PM
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A Hybrid Approach for Prediction of Event Times in Double-Blind Clinical Trials
Ming Zhu, Sanofi Pasteur; Yunnan Xu, Virginia Tech; Zheng Su, Deerfield Institute
5:05 PM
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Risk Prediction Through Temporal Phenotyping and Incorporation of MedDRA Information
Yong Chen, University of Pennsylvania; Rui Duan, University of Pennsylvania
5:20 PM
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Monday, 07/30/2018
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Machine Learning with Ensemble Feature Selections for Mass Spectrometry Data in Cancer Study
Yulan Liang, University of Maryland Baltimore; Amin Gharipour, Griffith University; Arpad Kelemen, University of Maryland Baltimore; Adam Kelemen, University of Maryland College Park; Hui Zhang, Johns Hopkins Medical Institutions
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Enhanced Prediction of March Mania Using Conference and Historical Information
Guanhong Miao; Samuel Wu, University of Florida
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Widespread (Unintentional) Corruption of Cross Validation Techniques for Prediction Models on Imputed Data Sets
Milo Page, NC State University/JMP; Alyson Wilson, North Carolina State University; Chris Gotwalt, JMP
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Should You Pay Attention to Daily Weather Forecast? An Exploration
Dooti Roy, Boehringer Ingelheim Pharmaceuticals Inc.; Gregory Vaughan, Bentley University; Jianan Hui, Boehringer Ingelheim Pharmaceuticals Inc.; Junxian Geng, Boehringer Ingelheim Pharmaceuticals Inc.
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Assessing Prediction Error in Traditional Weather Forecasts vs. a Data-Centric Approach
Robert Garrett, Miami University; Ryan Estep, Miami University; Nichole Rook, Miami University; Benjamin William Schweitzer, Miami University; Thomas Fisher, Miami University
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Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
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Introducing Forecast Intervals with a Confidence Game
Robin Lock, St. Lawrence University
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Assessing Prediction Error in Traditional Weather Forecasts vs. a Data-Centric Approach
Robert Garrett, Miami University; Ryan Estep, Miami University; Nichole Rook, Miami University; Benjamin William Schweitzer, Miami University; Thomas Fisher, Miami University
8:50 AM
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Power Outage Prediction for Adverse Weather Events
Seth Guikema, University of Michigan; Steven Quiring, Ohio State University; Ken Buckstaff, First Quartile Consulting; Mike Beck, Beck Consulting; Alan Bowman, Clarkson University; Brent McRoberts, Texas A&M University; Roshanak Nateghi, Purdue University
9:05 AM
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Should You Pay Attention to Daily Weather Forecast? An Exploration
Dooti Roy, Boehringer Ingelheim Pharmaceuticals Inc.; Gregory Vaughan, Bentley University; Jianan Hui, Boehringer Ingelheim Pharmaceuticals Inc.; Junxian Geng, Boehringer Ingelheim Pharmaceuticals Inc.
9:05 AM
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Introducing Forecast Intervals with a Confidence Game
Robin Lock, St. Lawrence University
9:55 AM
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Methods for Estimating Points Based Risk Score for Binary Clinical Outcome
Alok Dwivedi, Texas Tech University Health Sciences Center El Paso; Muditha Perera, Texas Tech University Health Sciences Center El Paso; Durgesh Kumar Dwivedi, University of Texas Southwestern Medical Center; Anit Parihar, King George's Medical University; Sada Nand Dwivedi, All India Institute of Medical Sciences; Rakesh Shukla, University of Cincinnati
10:05 AM
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A Simulation-Based Prediction and Optimization Framework for Bio-pharmaceutical Supply Chain Dynamic Risk Management
Wei Xie, Rensselaer Polytechnic Institute; Pu Zhang, Rensselaer Polytechnic Institute; Ilya O. Ryzhov, University of Maryland
10:55 AM
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Improved Shrinkage Prediction Under a Spiked Covariance Structure
Trambak Banerjee; Gourab Mukherjee, University of Southern California; Debashis Paul, UC Davis
11:35 AM
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Combining Breast Cancer Risk Prediction Models
Zoe Guan; Danielle Braun, Harvard T. H. Chan School of Public Health; Lorenzo Trippa, Harvard; Hajime Uno, Dana Farber Cancer Institute; Kevin S. Hughes, Massachusetts General Hospital; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
11:50 AM
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Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
11:50 AM
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Prediction on Network-Linked Data by Matrix Variate Models
Xuefei Zhang, University of Michigan; Ji Zhu, University of Michigan
2:35 PM
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Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Darryl Creel
3:15 PM
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Prediction Using Machine Learning Algorithms by Small Sample Size Data
Yan Wang, Field School of Public Health, UCLA; Honghu Liu, UCLA; Jian L Zhang, Kaiser Permanente
3:20 PM
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CiTools: Quantifying Uncertainty for Statistical Models in R
Matthew Avery
3:25 PM
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Tuesday, 07/31/2018
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Univariate, Multivariate and Model-Based Prediction on Truncated Continuous Data with Shiny/R
Qianqiu Li, Janssen Research & Development
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A Two-Stage Method to Analyze Multivariate Cluster Biomarkers in Prediction on a Single Binary Outcome
Xiaoying Yu, University of Texas Medical Branch at Galveston; Wenyaw Chan, University of Texas Health Science Center at Houston; Gracie Vargas, University of Texas Medical Branch at Galveston; Rahul Pal, University of Texas Medical Branch at Galveston
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Empirical Bayes Small Area Prediction of Sheet and Rill Erosion Using a Zero-Inflated Lognormal Model
Xiaodan Lyu, Iowa State Univ; Emily Berg, Iowa State University; Heike Hofmann, Iowa State University
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Explore Modified Organ Dysfunction Score System to Improve the Prediction of Survival
Grace Zhang, GSK
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Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Darryl Creel
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Estimating Prediction Error for Complex Samples
Andrew James Holbrook, UC Irvine; Daniel L. Gillen, University of California, Irvine; Thomas Lumley, University of Auckland
8:35 AM
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Predicting the Count of Tropical Storms with Bayesian Model Averaging
Joyee Ghosh, University of Iowa
8:50 AM
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Explore Modified Organ Dysfunction Score System to Improve the Prediction of Survival
Grace Zhang, GSK
9:05 AM
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Coupling Forest In-Situ and Spaced-Based Lidar Samples to Improve National-Scale Forest Inventory: a Joint Spatial Modeling Framework for Forest and Lidar Variable Prediction Lever
Chad Babcock, University of Washington; Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Bruce Douglas Cook, NASA Goddard Space Flight Center; Douglas C Morton, NASA Goddard Space Flight Center
9:15 AM
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The Impact of Different Sources of Heterogeneity on Loss of Accuracy from Genomic Prediction Models
Levi Waldron, CUNY School of Public Health
10:55 AM
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Prediction for Distributional Outcomes in the Management of High-Performance Computing Input/Output (I/O) Variability
Li Xu, Virginia Tech; Thomas Lux, Virginia Tech; Tyler Chang, Virginia Tech; Bo Li, Virginia Tech; Yili Hong, Virginia Tech; Layne Watson, Virginia Tech; Kirk Cameron, Virginia Tech; Jon Bernard, Virginia Tech
11:05 AM
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A Two-Stage Method to Analyze Multivariate Cluster Biomarkers in Prediction on a Single Binary Outcome
Xiaoying Yu, University of Texas Medical Branch at Galveston; Wenyaw Chan, University of Texas Health Science Center at Houston; Gracie Vargas, University of Texas Medical Branch at Galveston; Rahul Pal, University of Texas Medical Branch at Galveston
11:10 AM
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The Impact of Misspecification of Linear Modeling on the Prediction in SMART PK/PD Clinical Trials
Tian Zhao, Merck; Li Fan, Merck
11:20 AM
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Spatial Statistics Vs Machine Learning: Evaluating Air Pollution Exposure Prediction Models
Gregory Watson, UCLA; Donatello Telesca, UCLA
11:20 AM
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Empirical Bayes Small Area Prediction of Sheet and Rill Erosion Using a Zero-Inflated Lognormal Model
Xiaodan Lyu, Iowa State Univ; Emily Berg, Iowa State University; Heike Hofmann, Iowa State University
12:00 PM
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Dynamic Prediction for Patients with High-Grade Extremity Soft Tissue Sarcoma
Anja Rueten-Budde, Leiden University; Marta Fiocco, Leiden University
2:50 PM
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Probabilistic Prediction of the State of Discarded Underwater Marine Munitions
Jonathan Gillmore Ligo, Johns Hopkins Applied Physics Laboratory; Sarah Rennie, Johns Hopkins Applied Physics Laboratory; Alan Brandt, Johns Hopkins Applied Physics Laboratory
2:50 PM
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Wednesday, 08/01/2018
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Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
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Prediction of Warranty Returns Based on Modeling Seasonal Recurrent Event Data
Qianqian Shan; William Meeker, Iowa State University
8:35 AM
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Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
8:50 AM
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Mortality Prediction with Multiple Unordered Treatments for Aortic Valve Replacement
Samrachana Adhikari, Harvard Medical School; Sherri Rose, Harvard Medical School; Sharon-Lise Normand, Harvard University; Jordan Bloom, Harvard Medical School; David Shahian, Harvard Medical School; Jake Spertus, Harvard Medical School
8:55 AM
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Improve Risk Prediction Model Estimation with Longitudinal Surrogate Markers
Yu Zheng, Harvard T.H. Chan School of Public Health; Tianxi Cai, Harvard T.H. Chan School of Public Health; Lu Tian, Stanford University School of Medicine
9:15 AM
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Simultaneous Prediction and Community Detection on Networks with Application to Neuroimaging
Jesús Arroyo , University of Michigan; Elizaveta Levina, University of Michigan
9:50 AM
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Missing Imputation of Cancer Proteome with Iterative Prediction Model
Shrabanti Chowdhury, Icahn School of Medicine at Mount Sinai; Weiping Ma, Icahn School of Medicine at Mount Sinai; Pei Wang, Icahn School of Medicine at Mount Sinai ; Lin Chen, University of Chicago
9:50 AM
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Future Events Prediction with a Forward Intensity Function Approach
Lili Zhu, Bristol-Myers Squibb; Temple University; Cheng Yong Tang, Temple University
10:05 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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Scalar-On-Function Prediction Models with Missing Covariates: Applications in Depression Research Using EEG and Clinical Data
Adam Ciarleglio, Columbia University and the New York State Psychiatric Institute; Eva Petkova, NYU School of Medicine
11:15 AM
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Prediction of Melanoma Prognosis Class Using a Multiclass Discriminant Analysis Classifier with Variable Selection
Sarah Romanes, The University of Sydney; John T Ormerod, University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
11:35 AM
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Genotype Prediction for All Publicly Available RNA-Seq Data
Siruo Wang, Johns Hopkins Bloomberg SPH; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
11:50 AM
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Flexible Locally Weighted Penalized Regression with Applications on Prediction of ADNI Clinical Scores
Peiyao Wang; Yufeng Liu, University of North Carolina at Chapel Hill; Dinggang Shen, University of North Carolina at Chapel Hill
11:55 AM
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Forecasting Consumer Interests from Search Query Data Using Large-Scale, Semiparametric Probabilistic Prediction Algorithms
Georg Goerg
2:05 PM
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A Fault Prediction Method for Temporal Data
Emanuele Gramuglia, University of Oslo
2:35 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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Using Imputation Methods to Predict Listing Housing Unit Counts for Small Geographies
Courtney Hill, U.S. Census Bureau; Timothy Kennel, U.S. Census Bureau; T. Trang Nguyen, US Census Bureau
3:05 PM
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Model-Based Sampling Design for Multivariate Spatial Prediction on a Stream Network
Dale Zimmerman, American Statistical Association
3:20 PM
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Population-Based Disease Risk Prediction Modeling Using National Survey, Clinical, and Registry Data: Application to Risk Prediction for Oropharyngeal Cancer in the US Population
Barry Ira Graubard, National Cancer Institute; Anil Chaturvedi, National Cancer Institute; Joseph Tota, National Cancer Institute; Hormuzd A. Katki, Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute
3:20 PM
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Add Time Dimension to the Prediction: a Multi-Stage, Sequential Prediction Model
Zheng Zhang, Brown University
3:35 PM
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Thursday, 08/02/2018
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Dynamic Prediction of Competing Risk Events using Landmark Sub-distribution Hazard Model with Multivariate Longitudinal Biomarkers
Cai Wu, Merck & Co.; Liang Li, UT MD Anderson Cancer Center; Ruosha Li, University of Texas School of Public Health
8:50 AM
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Risk Prediction Using Longitudinal Predictors: An Application to Electronic Health Records Data
Benjamin A Goldstein, Duke University; Michael Pencina, Duke University; Gina-Maria Pomann, Duke University; Wolfgang Winkelmayer, Baylor University
10:35 AM
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Model Choice and Future Prediction Accuracy in Time Series for Disease Incidence
Reagan Spindler, Hope College; Yew-Meng Koh, Hope College
11:05 AM
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A Bayesian Hierarchical Model for Continental-Scale Prediction of Water Quality in US Lakes
Meridith Bartley, Penn State University; Ephraim Hanks, The Pennsylvania State University
11:05 AM
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A Kernel-Based Neural Network for High-Dimensional Genetic Risk Prediction Analysis
Xiaoxi Shen; Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University
11:05 AM
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Developing Polygenic Risk Prediction Models for Cancer Subtypes Incorporating Multivariate Disease Characteristics
Haoyu Zhang, Johns Hopkins University; Thomas U. Ahearn, National Cancer Institute; Ni Zhao, Johns Hopkins University; Montserrat García-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
11:20 AM
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