Innovative Statistical Methods for Public Health Data Hardback
Edited by Ding-Geng (Din) Chen, Jeffrey Wilson
Part of the ICSA Book Series in Statistics series
Hardback
Description
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.
Information
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Item not Available
- Format:Hardback
- Pages:351 pages, 57 Tables, black and white; 22 Illustrations, color; 23 Illustrations, black and white; X
- Publisher:Springer International Publishing AG
- Publication Date:01/09/2015
- Category:
- ISBN:9783319185354
Information
-
Item not Available
- Format:Hardback
- Pages:351 pages, 57 Tables, black and white; 22 Illustrations, color; 23 Illustrations, black and white; X
- Publisher:Springer International Publishing AG
- Publication Date:01/09/2015
- Category:
- ISBN:9783319185354
