Innovative Statistical Methods for Public Health Data

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Public Health, Science & Nature, Mathematics
Cover of the book Innovative Statistical Methods for Public Health Data by , Springer International Publishing
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Author: ISBN: 9783319185361
Publisher: Springer International Publishing Publication: August 31, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319185361
Publisher: Springer International Publishing
Publication: August 31, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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