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Innovative Statistical Methods for Public Health Data

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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.

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Detail Information

Series Title

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Call Number

614 INN

Publisher

: Springer Cham., 2015

Collation

XIV, 351

Language

English

ISBN/ISSN

978-3-319-18535-4

Classification

614

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Statistics for Life Sciences

Specific Detail Info

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Statement of Responsibility

Ding-Geng (Din) Chen, Jeffrey Wilson editor

Other Information

Cataloger

Khusnun

Source

-

Validator

maya

Digital Object Identifier (DOI)

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Journal Volume

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Journal Issue

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Subtitle

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