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ICSA Book Series in Statistics

Innovative Statistical Methods for Public Health Data

Editors: Chen, Ding-Geng (Din), Wilson, Jeffrey R. (Eds.)

  • Covers statistical methods and their applications to public health research in a multi-disciplinary approach by experts in the field
  • Compiles the data & related software in innovative statistical methods so readers can use the software for their own data analysis
  • Shares important implications for model development and data analysis
  • Can serve as reference for public health and biomedical research and as a text for use in courses on causal inference at the graduate level
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Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-18536-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-18535-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-319-36641-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.

About the authors

Ding-Geng (Din) Chen (PhD in Statistics from University of Guelph) is a professor in biostatistics at the University of Rochester. Previously, he was the Karl E. Peace endowed eminent scholar chair in biostatistics from the Jiann-Ping Hsu College of Public Health at the Georgia Southern University. He is also a senior biostatistics consultant for biopharmaceuticals and government agencies with extensive expertise in clinical trials and bioinformatics. He has more than 100-refereed professional publications and co-authored five books in biostatistics. Professor Chen was Section Chair (2011-2014) of Applied Public Health Statistics, American Public Health Association. Professor Jeffrey Wilson was Section Chair (2010-2013) of Applied Public Health Statistics, American Public Health Association. He was also a former Director of Biostatistics Core in the NIH Center Alzheimer. He is also the former Director of the School of Health Management and Policy. He is an Associate Editor for The JMIG and Chair of the Editorial Board of AJPH. His research experience includes grants from the NSF, USDA and NIH. He has published several articles in leading journals in Statistics and Healthcare. He teaches statistics at the graduate level in topics including GLM and GLIMMIX.

Reviews

“The book is a compilation of new developments in statistical methods and applications relevant in public health research. … The primary audience is statisticians and researchers in biomedical and public health research. … Each chapter ends with a set of references for further reading. … This is an excellent book, with chapters addressing innovative statistical methods for specific statistical situations, targeted at researchers in the biomedical or public health fields.” (Kamesh Sivagnanam, Doody’s Book Reviews, January, 2016)


Table of contents (15 chapters)

  • Methods for Analyzing Secondary Outcomes in Public Health Case–Control Studies

    Schifano, Elizabeth D. (et al.)

    Pages 3-15

  • Controlling for Population Density Using Clustering and Data Weighting Techniques When Examining Social Health and Welfare Problems

    Agre, Lynn A. (et al.)

    Pages 17-30

  • On the Inference of Partially Correlated Data with Applications to Public Health Issues

    Samawi, Hani M. (et al.)

    Pages 31-55

  • Modeling Time-Dependent Covariates in Longitudinal Data Analyses

    Lalonde, Trent L.

    Pages 57-79

  • Solving Probabilistic Discrete Event Systems with Moore–Penrose Generalized Inverse Matrix Method to Extract Longitudinal Characteristics from Cross-Sectional Survey Data

    Chen, Ding-Geng (Din) (et al.)

    Pages 81-94

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-18536-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-18535-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-319-36641-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Innovative Statistical Methods for Public Health Data
Editors
  • Ding-Geng (Din) Chen
  • Jeffrey R. Wilson
Series Title
ICSA Book Series in Statistics
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-18536-1
DOI
10.1007/978-3-319-18536-1
Hardcover ISBN
978-3-319-18535-4
Softcover ISBN
978-3-319-36641-8
Series ISSN
2199-0980
Edition Number
1
Number of Pages
XIV, 351
Number of Illustrations and Tables
23 b/w illustrations, 22 illustrations in colour
Topics