Innovative Statistical Methods for Public Health Data

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Synopsis

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.

Book details

Edition:
1st ed. 2015
Series:
ICSA Book Series in Statistics
Author:
Ding-Geng Din Chen, Jeffrey Wilson
ISBN:
9783319185361
Related ISBNs:
9783319185354
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2019-09-08
Usage restrictions:
Copyright
Copyright date:
2015
Copyright by:
Springer International Publishing, Cham 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Medicine, Nonfiction