Innovative Statistical Methods for Public Health Data (Paperback, Softcover reprint of the original 1st ed. 2015)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	ICSA Book Series in Statistics
Release date:	October 2016
First published:	2015
Editors:	Ding-Geng (Din) Chen • Jeffrey Wilson
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	351
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-36641-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Medical equipment & techniques > Medical laboratory testing & techniques Books > Medicine > General issues > Public health & preventive medicine > General
LSN:	3-319-36641-6
Barcode:	9783319366418

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