Innovative Statistical Methods for Public Health Data

Ding Geng Din Chen, Jeffrey Wilson

Research output: Book/ReportBook

3 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
PublisherSpringer International Publishing
Number of pages351
ISBN (Print)9783319185361, 9783319185354
DOIs
StatePublished - Aug 31 2015

Fingerprint

Public Health
Population Surveillance
Research
Meta-Analysis
Spectrum Analysis
Software
Research Personnel
Health

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Innovative Statistical Methods for Public Health Data. / Chen, Ding Geng Din; Wilson, Jeffrey.

Springer International Publishing, 2015. 351 p.

Research output: Book/ReportBook

Chen, Ding Geng Din ; Wilson, Jeffrey. / Innovative Statistical Methods for Public Health Data. Springer International Publishing, 2015. 351 p.
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