Innovative Statistical Methods for Public Health Data is popular PDF and ePub book, written by Ding-Geng (Din) Chen in 2015-08-31, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Innovative Statistical Methods for Public Health Data can be Read Online from any device for your convenience.
Innovative Statistical Methods for Public Health Data 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.
Detail Book of Innovative Statistical Methods for Public Health Data PDF
- Author : Ding-Geng (Din) Chen
- Release : 31 August 2015
- Publisher : Springer
- ISBN : 9783319185361
- Genre : Medical
- Total Page : 351 pages
- Language : English
- PDF File Size : 7,5 Mb
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