Non-Fiction Books:

Nonparametric Regression Methods for Longitudinal Data Analysis

Mixed-Effects Modeling Approaches
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Description

This volume covers the updated nonparametric regression methods for longitudinal data analysis given that the methods are now more flexible and robust than in the immediate past. The book also introduces the mixed-effects idea in nonparametric regressions so that the methods that are described will be more powerful and efficient when compared to those in other existing books.

Author Biography:

HULIN WU, PHD, is Professor of Biostatistics in the School of Medicine and Dentistry at the University of Rochester in the Departments of Medicine; Community and Preventative Medicine; and Biostatistics and Computational Biology. His research interests include longi-tudinal data, HIV/AIDS modeling, biomedical informatics, and clinical trials. JIN-TING ZHANG, PHD, is Assistant Professor in the Department of Statistics and Applied Probability at the National University of Singapore. His research interests include nonparametric regression and density estimation, nonparametric mixed-effects modeling, functional data analysis, and longitudinal data analysis, among others.
Release date NZ
May 23rd, 2006
Audience
  • Professional & Vocational
Illustrations
Graphs: 62 B&W, 0 Color
Pages
400
Dimensions
160x239x23
ISBN-13
9780471483502
Product ID
3079993

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