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Keyword Search Criteria: Semiparametric returned 73 record(s)
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Sunday, 07/29/2018
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Spatio-Temporal Analysis of Children and Adolescents' Emergency Department Use for Mental Health Reasons in Alberta, Canada
Michelle Thiessen, Simon Fraser University; Joan Hu, Simon Fraser University; Rhonda J. Rosychuk, University of Alberta
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Sparse Estimation for Functional Semiparametric Additive Model
Peijun Sang, Simon Fraser University; Richard Lockhart, Simon Fraser University; Jiguo Cao, Simon Fraser University
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Regression Analysis of Recurrent Event Data with Measurement Error
Yixin Ren, University of Maryland, College Park; Xin He, University of Maryland, College Park
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Fusion of the Semiparametric Models and Network Measures in the Study of Brain Dynamic Functional Connectivity
Maria Kudela, Takeda Pharmaceuticals; Jaroslaw Harezlak, Indiana University Bloomington; Mario Dzemidzic, Indiana University School of Medicine; Brandon Oberlin, Indiana University School of Medicine; David A Kareken, Indiana University School of Medicine; Joaquin Goni, Purdue University
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Semiparametric Regression Analysis of Length-Biased Interval-Censored Data
Fei Gao, University of Washington; Kwun Chuen Gary Chan, University of Washington
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Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events
Fei Gao, University of Washington; Donglin Zeng, UNC Chapel Hill; Danyu Lin, University of North Carolina
2:05 PM
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Semiparametric Theory for Causal Inference with Negative Controls
Xu Shi, Harvard University; Wang Miao, Peking University; Eric Tchetgen Tchetgen, The Wharton School at the University of Pennsylvania
2:45 PM
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Joint Modeling of Multiple Time-To-Event Outcomes
Shanshan Zhao, National Institute of Environmental Health Sciences; Ross Prentice, Fred Hutchinson Cancer Research Center
2:45 PM
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Fusion of the Semiparametric Models and Network Measures in the Study of Brain Dynamic Functional Connectivity
Maria Kudela, Takeda Pharmaceuticals; Jaroslaw Harezlak, Indiana University Bloomington; Mario Dzemidzic, Indiana University School of Medicine; Brandon Oberlin, Indiana University School of Medicine; David A Kareken, Indiana University School of Medicine; Joaquin Goni, Purdue University
2:45 PM
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A Profile Likelihood Approach to Semiparametric Estimation with Nonignorable Nonresponse
Jae-kwang Kim, Iowa State University; Kosuke Morikawa, Osaka University ; Hejian Sang, Iowa State University
3:05 PM
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Semiparametric Regression Analysis of Length-Biased Interval-Censored Data
Fei Gao, University of Washington; Kwun Chuen Gary Chan, University of Washington
3:20 PM
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Asymptotic Behavior of the Alpha-Risk Minimizing Portfolio in High-Dimensional Setting
Hiroyuki Taniai, Waseda University
3:20 PM
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Semiparametric Regression Methods for Spatial and Spatio-Temporal Data with Application to Fine Particulate Matter (PM2.5) Studies
Lily Wang, Iowa State University; Jingru Mu, Iowa State University; Guannan Wang, College of William & Mary
3:25 PM
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Semiparametric Regression Methods for Temporal Processes Subject to Multiple Sources of Censoring
Douglas E. Schaubel, University of Michigan, Ann Arbor; Tianyu Zhan, AbbVie Inc.
3:25 PM
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Regression Analysis of Recurrent Event Data with Measurement Error
Yixin Ren, University of Maryland, College Park; Xin He, University of Maryland, College Park
3:35 PM
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Tilted Covariate and Mediator Balancing
Kwun Chuen Gary Chan, University of Washington
4:05 PM
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Variable Selection in Semiparametric Transformation Cure Models with Right-Censored Data
Wenyan Zhong
5:25 PM
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Generalized Linear Models with Multiple Longitudinal Covariate Processes
Erning Li, University of Iowa
5:35 PM
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Monday, 07/30/2018
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Adaptive Classification on Partial Linear Models
Chitrak Banerjee, Michigan State University; Lyudmila Sakhanenko, Michigan State University
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Semiparametric Regression for Measurement Error Model with Heteroscedastic Error
Mengyan Li; Yanyuan Ma, Penn State University; Runze Li, Penn State University
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A Bayesian Semiparametric Joint Model for Longitudinal and Survival Data
Pengpeng Wang, Florida State University; Jonathan R. Bradley, Florida State University; Elizabeth H. Slate, Florida State University
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New Applications of Machine Learning to Estimating Large Physician Demand Models
Bryan Sayer, Social & Scientific Systems, Inc.; William Encinosa, Agency for Health Care Quality and Research
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A Hybrid Method for the Stratified Mark-Specific Proportional Hazards Models with Missing Data, with Applications to Dengue Vaccine Efficacy Trials
Yanqing Sun, University of North Carolina At Charlotte; Li Qi, Biostatistics and Programming, Sanofi; Peter Gilbert, Fred Hutchinson Cancer Research Center; Fei Heng, University of North Carolina at Charlotte
9:15 AM
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Lagged Hierarchical Semiparametric Models for Task-Based Dynamic Functional Connectivity (DFC)
Jaroslaw Harezlak, Indiana University Bloomington; Zikai Lin, Indiana University; Maria Kudela, Takeda Pharmaceuticals; Brandon Oberlin, Indiana University School of Medicine; Joaquin Goni, Purdue University; David A Kareken, Indiana University School of Medicine; Mario Dzemidzic, Indiana University School of Medicine
9:15 AM
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Semiparametric Regression for Measurement Error Model with Heteroscedastic Error
Mengyan Li; Yanyuan Ma, Penn State University; Runze Li, Penn State University
9:35 AM
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Two-Phase Outcome-Dependent Sampling Design with Interval-Censored Failure Time Data
Qingning Zhou, University of North Carolina at Charlotte; Jianwen Cai, University of North Carolina; Haibo Zhou, University of North Carolina
9:55 AM
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New Applications of Machine Learning to Estimating Large Physician Demand Models
Bryan Sayer, Social & Scientific Systems, Inc.; William Encinosa, Agency for Health Care Quality and Research
10:05 AM
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ESTIMATING TREATMENT IMPORTANCE in MULTIDRUG-RESISTANT TUBERCULOSIS USING TARGETED LEARNING: AN OBSERVATIONAL INDIVIDUAL PATIENT DATA NETWORK META-ANALYSIS
Guanbo Wang, McGill University; Mireille Schnitzer, University of Montreal; Andrea Benedetti, Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre
10:35 AM
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Coordinate-Independent Sparse Estimation in Semiparametric Models
Haileab Hilafu, University of Tennessee; Sandra Safo, University of Minnesota
10:50 AM
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A Bayesian Semiparametric Joint Model for Longitudinal and Survival Data
Pengpeng Wang, Florida State University; Jonathan R. Bradley, Florida State University; Elizabeth H. Slate, Florida State University
11:00 AM
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Semiparametric Bayes Model for Multidimensional Instrumental Variables
Ryo Kato, Keio University; Takahiro Hoshino, Keio University
11:05 AM
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Ensemble Estimation and Variable Selection with Semiparametric Regression Models
Sunyoung Shin, University of Texas at Dallas; Yufeng Liu, University of North Carolina at Chapel Hill; Stephen Cole, University of North Carolina at Chapel Hill; Jason P Fine, University of North Carolina at Chapel Hill
11:55 AM
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A Semiparametric Approach to Model Effect Modification
Muxuan Liang, University of Wisconsin-Madison; Menggang Yu, University of Wisconsin-Madison
2:45 PM
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A Two-Part Semiparametric Model for Metabolomics and Proteomics Data
Li Chen, University of Kentucky; Yuntong Li, University of Kentucky; Teresa Fan, University of Kentucky; Andrew Lane, University of Kentucky; Woo-Young Kang, University of Kentucky; Susanne Arnold, University of Kentucky; Arnold Stromberg, University of Kentucky; Chi Wang, University of Kentucky
3:20 PM
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Tuesday, 07/31/2018
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A Bayesian Semiparametric Model for Correlated Longitudinal Data: An Application to Studies Involving Patients and Family Members
Li-Jung Liang, UCLA
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Efficient Semiparametric Generalized Linear Models Based on Exponentially Tilted Splines
William H Aeberhard, Dalhousie University; Mark Hannay, Intrum Justitia CH
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Robust Score Tests with Missing Data in Genomics Studies
Kin Yau Wong, Hong Kong Polytechnic University; Donglin Zeng, UNC Chapel Hill; Danyu Lin, University of North Carolina
9:20 AM
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Semiparametric Inference for Copulas of Mixed Data
Bruno Remillard, HEC Montreal; Christian Genest, McGill University; Johanna G. Neslehova, McGill University
9:50 AM
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Semiparametric Single-Index Models for Optimal Treatment Regimes with Censored Outcomes
Jin Wang, University of North Carolina at Chapel Hill; Danyu Lin, University of North Carolina; Donglin Zeng, UNC Chapel Hill
10:35 AM
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Semiparametric Trend Analysis for Recurrent Event Data Under Weak Comparability
Peng Liu, University of Alberta; Yijian Huang, Emory University; Kwun Chuen Gary Chan, University of Washington; Ying Qing CHEN, Fred Hutchinson Cancer Research Center
10:35 AM
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Semiparametric Estimation of the Mean and Coefficient of Variation of the Interevent Distribution of a Renewal Process from Cross-Sectional Count Data
John D. Rice, University of Colorado, Denver; Robert L. Strawderman, University of Rochester; Brent A. Johnson, University of Rochester
10:50 AM
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Empirical Bayes Estimation of Small Area Means Under Unmatched Two-Fold Subarea Models
Song Cai, Carleton University; Golshid Chatrchi, Carlelton University; Shonosuke Sugasawa, The University of Tokyo; J.N.K. Rao, Carleton Univeristy
10:55 AM
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The Welch's T-Test with Covariates
Cong Cao, The University of Texas at Dallas; Markus Pauly, Ulm University; Frank Konietschke, The University of Texas at Dallas
11:20 AM
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Efficient Semiparametric Generalized Linear Models Based on Exponentially Tilted Splines
William H Aeberhard, Dalhousie University; Mark Hannay, Intrum Justitia CH
11:30 AM
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Sample-Weighted Semiparametric Estimates of Cause-Specific Cumulative Incidence Using Left-/Interval Censored Data from Electronic Health Records
Noorie Hyun, Medical College of Wisconsin; Hormuzd A. Katki, Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute; Barry Ira Graubard, National Cancer Institute
11:50 AM
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A Semiparametric Approach for Modeling Multivariate Nonlinear Time Series
Seyed Yaser Samadi, Southern Illinois University, Carbondale
11:50 AM
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Semiparametric-Sparse Network Kernel Method for Genetic Pathway Analysis
Byung-Jun Kim, Virginia Polytechnic Inst. & State Univ.; Inyoung Kim, Virginia Tech
2:05 PM
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General Regression Model for the Subdistribution of a Competing Risk Under Left-Truncation and Right-Censoring
Anna Bellach, Fred Hutch Cancer Research Center; Michael Kosorok, University of North Carolina at Chapel Hill; Peter Gilbert, Fred Hutchinson Cancer Research Center; Jason P Fine, University of North Carolina at Chapel Hill
2:35 PM
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Spatial Semiparametric Spectral Density Estimation for Multivariate Extremes
Mauricio Nascimento, Pennsylvania State University; Benjamin Shaby, Penn State University
3:05 PM
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A General Class of Weighted Semiparametric Models for Recurrent Event Data
Russell Stocker, Indiana University of Pennsylvania; Akim Adekpedjou, Missouri University of Science and Technology
3:20 PM
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Semiparametric Transformation Probit Models with Current-Status Data
Jing Qin, National Institute of Allergy and Infectious Diseases, NIH; Hao Liu, Indiana University Melvin and Bren Simon Cancer Center
3:35 PM
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Wednesday, 08/01/2018
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Bayesian Semiparametric Threshold Regression
Jonathan Race; Michael Pennell, Ohio State University
8:55 AM
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Semiparametric Estimation of the Cure Fraction in Population-Based Cancer Survival Analysis
Ennan Gu, University of South Carolina; Jiajia Zhang, University of South Carolina
9:05 AM
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A Semiparametric Test of Missing at Random Using Instrumental Variables
Rui Duan, University of Pennsylvania; Jason Liang, National Institute of Allergy and Infectious Diseases; Cheng Yong Tang, Temple University; Yong Chen, University of Pennsylvania
9:05 AM
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Folded Concave Penalized Estimation of Conditional Copula Graphical Models with Application to Microbial Networks
Bingyuan Liu, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
9:05 AM
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Partially Specified Spatial Autoregressive Model with Artificial Neural Network
Wenqian Wang, Northwestern University; Beth Andrews, Northwestern University
9:35 AM
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Semiparametric Monitoring Test Based on Clustered Data
Jiahua Chen, University of British Columbia; Pengfei Li, University of Waterloo; yukun liu, East China Normal University; Jim Zidek, University of British Columbia
10:35 AM
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Semiparametric Mixture Regression Under a Symmetric Unimodal Error Distribution
Linden Yuan, University of Maryland
10:35 AM
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Approximate Pointwise Tolerance Intervals for Semiparametric Regression Models
Kedai Cheng, University of Kentucky; Derek S. Young, University of Kentucky
10:50 AM
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Sparse Model Identification and Learning for Ultra-High-Dimensional Additive Partially Linear Models
Xinyi Li; Lily Wang, Iowa State University; Dan Nettleton, Iowa State University
11:05 AM
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A Robust and Efficient Approach to Causal Inference Based on Sparse Sufficient Dimension Reduction
Shujie Ma, UC Riverside-Dept of Statistics
11:15 AM
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Inference for Covariate-Adjusted Semiparametric Gaussian Copula Model Using Residual Ranks
Yue Zhao, KU Leuven; Irene Gijbels, KU Leuven; Ingrid Van Keilegom, KU Leuven
11:20 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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Direct Estimation of Differential Networks Under High-Dimensional Nonparanormal Graphical Models
Qingyang Zhang, University of Arkansas
2:20 PM
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Generalized Semiparametric Approach to One-Way Analysis of Variance
Chathurangi Pathiravsan, Southern Illinois University Carbondale; Bhaskar Bhattacharya, Southern Illinois University Carbondale
2:20 PM
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Unified Estimation Methods for Unnormalized Models Using Auxiliary Distributions
Masatoshi Uehara, Harvard Unversity; Xiao-Li Meng, Harvard University
2:35 PM
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Semiparametric Modeling of Structured Point Processes Using Multi-Level Log-Gaussian Cox Processes
Yongtao Guan; Jingfei Zhang, University of Miami
2:45 PM
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New Computational Methods for Non/Semiparametric Quantile Regression Models
Bo Kai, College of Charleston; Mian Huang, Shanghai University of Finance and Economics; Weixin Yao, University of California, Riverside; Yuexiao Dong, Temple University
3:20 PM
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Thursday, 08/02/2018
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Fair Inference Through Semiparametric-Efficient Estimation Over Constraint-Specific Paths
Nima Hejazi, Group in Biostatistics, UC Berkeley
8:35 AM
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Gaussian Process Selections in Semiparametric Regression for Multi-Pathway Analysis
Jiali Lin, Virginia Tech; Inyoung Kim, Virginia Tech
8:50 AM
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A Bayesian Semiparametric Regression Model for Joint Analysis of Microbiome Data
Juhee Lee, UC Santa Cruz; Marilou Sison-Mangus, Unversity of California, Santa Cruz
8:55 AM
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A Flexible Zero-Inflated Regression Model
Eric Roemmele; Derek S. Young, University of Kentucky
9:20 AM
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Augmented Minimax Linear Estimation
Stefan Wager, Stanford University; David Hirshberg, Columbia University
10:35 AM
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