skip to content
Analysis of mixed data : methods & applications Preview this item
ClosePreview this item

Analysis of mixed data : methods & applications

Author: Alexander R De Leon; Keumhee Carrière Chough
Publisher: Boca Raton : CRC Press/Taylor & Francis Group, [2013]
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
Summary:
"A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and genetics. Carefully edited for smooth readability and seamless transitions between chaptersAll chapters follow a common  Read more...
You are not connected to the University of Washington Libraries network. Access to online content and services may require you to authenticate with your library. OffCampus Access (log in)
Getting this item's online copy... Getting this item's online copy...

Find a copy in the library

Getting this item's location and availability... Getting this item's location and availability...

WorldCat

Find it in libraries globally
Worldwide libraries own this item

Details

Document Type: Book
All Authors / Contributors: Alexander R De Leon; Keumhee Carrière Chough
ISBN: 9781439884713 1439884714
OCLC Number: 817261629
Description: xxvii, 234 pages : illustrations ; 26 cm
Contents: Analysis of mixed data: an overview / Alexander R. de Leon and Keumhee Carrière Chough --
Combining univariate and multivariate random forests for enhancing predictions of mixed outcomes / Abdessamad Dine, Denis Larocque, and François Bellavance --
Joint tests for mixed traits in genetic association studies / Minjung Kwak, Gang Zheng, and Colin O. Wu --
Bias in factor score regression and a simple solution / Takahiro Hoshino and Peter M. Bentler --
Joint modeling of mixed count and continuous longitudinal data / Jian Kang and Ying Yang --
Factorization and latent variable models for joint analysis of binary and continuous outcomes / Armando Teixeira-Pinto and Jaroslaw Harezlak --
Regression models for analyzing clustered binary and continuous outcomes under the assumption of exchangeability / E. Olusegun George, Dale Bowman, and Qi An --
Random effects models for joint analysis of repeatedly measured discrete and continuous outcomes / Ralitza Gueorguieva --
Hierarchical modeling of endpoints of different types with generalized linear mixed models / Christel Faes --
Joint analysis of mixed discrete and continuous outcomes via copula models / Beilei Wu, Alexander R. de Leon, and Niroshan Withanage --
Analysis of mixed outcomes in econometrics: applications in health economics / David M. Zimmer --
Sparse Bayesian modeling of mixed econometric data using data augmentation / Helga Wagner and Regina Tüchler --
Bayesian methods for the analysis of mixed categorical and continuous (incomplete) data / Michael J. Daniels and Jeremy T. Gaskins.
Responsibility: edited by Alexander R. de Leon, Keumhee Carrière Chough.

Abstract:

"A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and genetics. Carefully edited for smooth readability and seamless transitions between chaptersAll chapters follow a common structure, with an introduction and a concluding summary, and include illustrative examples from real-life case studies in developmental toxicology, economics, medicine and health, marketing, and genetics. An introductory chapter provides a 'wide angle' introductory overview and comprehensive survey of mixed data analysisBlending theory and methodology, this book illustrates concepts via data from different disciplines. Analysis of Mixed Data: Methods & Applications traces important developments, collates basic results, presents terminology and methodologies, and gives an overview of statistical research applications. It is a valuable resource to methodologically interested as well as subject matter-motivated researchers in many disciplines"--
Retrieving notes about this item Retrieving notes about this item

Reviews

User-contributed reviews
Retrieving GoodReads reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.