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Modeling Heterogeneity in Health Risk Behaviors With a Dynamic Mixture Model Informed by Textual Occupational Data
作者Lorenzo Schiavon; Mattia Stival; Angela Andreella; Stefano Campostrini
作者单位1. Department of Statistical Sciences University of Padova Padova Italy; 2. Department of Mathematics University of Padova Padova Italy; 3. Department of Economics Ca' Foscari University of Venice Venice Italy
Joint Modeling of Longitudinal Data and Potentially Informative Visiting Process to Dynamically Predict Future Visit Times
作者Achilleas Stamoulopoulos; Christos Thomadakis; Giota Touloumi
作者单位1. Department of Hygiene, Epidemiology and Medical Statistics Medical School, National and Kapodistrian University of Athens Athens Greece; 2. Department of Statistics Athens University of Economics and Business Athens Greece
Variable Selection for Fixed and Random Effects in Multilevel Functional Mixed Effects Models
作者Rahul Ghosal; Marcos Matabuena; Enakshi Saha
作者单位1. Department of Epidemiology and Biostatistics University of South Carolina Columbia USA; 2. Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi UAE
Fixed or Random Effects: Analysis of Clustered Data
作者Kevin He; Xiangeng Fang; Yubo Shao; Nicholas Hartman; John D. Kalbfleisch
作者单位1. Department of Biostatistics University of Michigan Ann Arbor Michigan USA; 2. Kidney Epidemiology and Cost Center University of Michigan Ann Arbor Michigan USA
Generalized Multilevel Multisource Functional Regression With an Application to Alzheimer's Disease
作者Xiuli Du; Guorong Yi; Yenan Ren; Ziting Zhang; Hui Mi
作者单位1. College of Mathematical Sciences Ministry of Education Key Laboratory of NSLSCS Nanjing Normal University Nanjing China; 2. School of Medical Engineering and Affiliated Zhuhai People's Hospital Beijing Institute of Technology Zhuhai China
Microbial Diversity Estimation and Hill Number Calculation Using the Hierarchical Pitman‐Yor Process
作者Kevin McGregor; Todd Parsons; Elinor Simons; James Scott; Anita Kozyrskyj; Christopher Quince
作者单位1. Department of Statistics University of Manitoba Winnipeg Canada; 2. Department of Mathematics and Statistics York University North York Canada; 3. Department of Epidemiology, Biostatistics, and Occupational Health McGill University Québec Canada; 4. Laboratoire de Probabilités, Statistique, et Modélisation Sorbonne Université Paris France; 5. Division of Occupational and Environmental Health, Dalla Lana School of Public Health University of Toronto Toronto Canada; 6. Pediatrics Department, Faculty of Medicine and Dentistry University of Alberta Edmonton Canada; 7. High‐Resolution Microbiomics Group Earlham Institute Norwich UK
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