Innovative Statistical Methods for Public Health Data

This book PDF is perfect for those who love Medical genre, written by Ding-Geng (Din) Chen and published by Springer which was released on 31 August 2015 with total hardcover pages 351. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Innovative Statistical Methods for Public Health Data books below.

Innovative Statistical Methods for Public Health Data
Author : Ding-Geng (Din) Chen
File Size : 47,9 Mb
Publisher : Springer
Language : English
Release Date : 31 August 2015
ISBN : 9783319185361
Pages : 351 pages
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Innovative Statistical Methods for Public Health Data by Ding-Geng (Din) Chen Book PDF Summary

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.

Innovative Statistical Methods for Public Health Data

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

Get Book
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