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 Human Rights, Social Movements and Activism in Contemporary Latin American Cinema by
Cover of the book Unconventional Conflict by
Cover of the book Human Interface and the Management of Information. Visual Information and Knowledge Management by
Cover of the book Motivation and Action by
Cover of the book Business Information Systems Workshops by
Cover of the book Business Information Systems Workshops by
Cover of the book The Didactics of Mathematics: Approaches and Issues by
Cover of the book Applications of Metaheuristics in Process Engineering by
Cover of the book Technology, Institutions and Labor by
Cover of the book Thrombolysis in Pulmonary Embolism by
Cover of the book Intracranial Pressure and Brain Monitoring XV by
Cover of the book Progress in Location Based Services 2018 by
Cover of the book An Authentic Account of Adam Smith by
Cover of the book Sensors and Instrumentation, Volume 5 by
Cover of the book Clinical Handbook of Neuromuscular Medicine 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