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

More books from Springer International Publishing

Cover of the book The Global Histories of Books by
Cover of the book Cultural, Autobiographical and Absent Memories of Orphanhood by
Cover of the book The Pulvinar Thalamic Nucleus of Non-Human Primates: Architectonic and Functional Subdivisions by
Cover of the book ModelEd, TestEd, TrustEd by
Cover of the book Maritime Security Risks, Vulnerabilities and Cooperation by
Cover of the book Development of a Cyber Physical System for Fire Safety by
Cover of the book A Route to Chaos Using FPGAs by
Cover of the book Database Systems for Advanced Applications by
Cover of the book Lectures on Quantum Statistics by
Cover of the book The Great 1667 Dalmatia Earthquake by
Cover of the book The History of Technologic Advancements in Urology by
Cover of the book Information Systems and Neuroscience by
Cover of the book Challenges in Mechanics of Time Dependent Materials, Volume 2 by
Cover of the book Business Models and ICT Technologies for the Fashion Supply Chain by
Cover of the book US and EU External Labor Governance by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy