Innovative statistical methods for public health data [Documento electrónico] / edited by Ding-Geng (Din) Chen, Jeffrey Wilson
Language: eng.Country: US - United States of America.Publication: Cham : Springer International Publishing, 2015Description: XIV, 351 p. : 45 il.ISBN: 978-3-319-18536-1.Series: ICSA book series in statisticsSubject - Topical Name: Estatística | Saúde pública | Medicina, Investigação Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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E-Books | Biblioteca NOVA FCT | Não Ficção | QA276.SPR FCT 96368 (Browse shelf(Opens below)) | 1 | Available |
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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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