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Könyv Innovative Statistical Methods for Public Health Data Ding-Geng Chen

Innovative Statistical Methods for Public Health Data

Szerző: Ding-Geng Chen, Jeffrey R. Wilson
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer International Publishing AG
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
40 010 Ft
The book brings together experts working in public health and multi-disciplinary areas to present re...

Információk a könyvről

Szerző
Ding-Geng Chen, Jeffrey R. Wilson
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2015
oldal
351
EAN
9783319185354
ISBN
3319185357
Enbook ID
09266925
Kiadó
Springer International Publishing AG
Súly
872
Méretek
245 x 165 x 20

Teljes leírás

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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