Innovative Statistical Methods for Public Health Data

  • Ding-Geng (Din) Chen
  • Jeffrey Wilson

Part of the ICSA Book Series in Statistics book series (ICSABSS)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Modelling Clustered Data

  3. Modelling Incomplete or Missing Data

    1. Front Matter
      Pages 95-95
    2. Hua He, Wenjuan Wang, Ding-Geng (Din) Chen, Wan Tang
      Pages 97-115
    3. Yu-Jau Lin, Nan Jiang, Y. L. Lio, Ding-Geng (Din) Chen
      Pages 117-151
  4. Healthcare Research Models

    1. Front Matter
      Pages 201-201
    2. Steven E. Rigdon, Ronald D. Fricker Jr.
      Pages 203-249
    3. Xinguang (Jim) Chen, Ding-Geng Chen
      Pages 265-290
    4. Changchun Xie, Enas Ghulam, Aimin Chen, Kesheng Wang, Susan M. Pinney, Christopher Lindsell
      Pages 315-324
    5. Yan Ma, Wei Zhang, Ding-Geng Chen
      Pages 325-340
  5. Back Matter
    Pages 341-351

About this book

Introduction

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.

Keywords

Causal inference Health surveillance Incomplete or missing data Public health statistics Standardization and decomposition analysis (SDA) Statistics biomedical research

Editors and affiliations

  • Ding-Geng (Din) Chen
    • 1
  • Jeffrey Wilson
    • 2
  1. 1.Wallace H. Kuralt Distinguished Professor, Director of Statistical Development and ConsultationSchool of Social Work, University of North Carolina at Chapel HillChapel HillUSA
  2. 2.Arizona State UniversityTempeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-18536-1
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-18535-4
  • Online ISBN 978-3-319-18536-1
  • Series Print ISSN 2199-0980
  • Series Online ISSN 2199-0999
  • About this book