Modern Epidemiology Third Edition Hardcover Textbook Public Health

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Oggetto che si trova a: Carrboro, North Carolina, Stati Uniti
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Specifiche dell'oggetto

Condizione
Buone condizioni: Libro che è già stato letto ma è in buone condizioni. Mostra piccolissimi danni ...
ISBN
9781451190052
Categoria

Informazioni su questo prodotto

Product Identifiers

Publisher
Lippincott Williams & Wilkins
ISBN-10
1451190050
ISBN-13
9781451190052
eBay Product ID (ePID)
160064584

Product Key Features

Number of Pages
758 Pages
Publication Name
Modern Epidemiology
Language
English
Publication Year
2012
Subject
Epidemiology
Features
Revised
Type
Textbook
Author
Sander Greenland, Timothy L. Lash, Kenneth J. Rothman
Subject Area
Medical
Format
Hardcover

Dimensions

Item Weight
0 Oz
Item Length
10 in
Item Width
7 in

Additional Product Features

Edition Number
3
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
614.4
Edition Description
Revised edition
Synopsis
The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with contributions from sixteen experts in a variety of epidemiologic sub-disciplines, this new edition is by far the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical interference, and causal diagrams. Topics in data analysis range from Bayesian analysis, sensitivity analysis, and bias analysis, with an extensive overview of modern regression methods including logistic and survival regression, splines, hierarchical (multilevel) regression, propsensity scores and other scoring methods, and g-estimation. Special-topics chapters cover disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, clinical epidemiology, and meta-analysis. FEATURES: Comprehensive and cohesive text on the principles and methods of contemporary epidemiologic research Addresses the methodologic issues crucial to the wide range of epidemiologic applications in public health and medicine Major sections cover basic concepts, study design and conduct, data analysis, and special topics Completely revised and updated to bring you the most updated information New chapters cover causal modeling: Bayesian analysis, probabilistic bias analysis, social epidemiology, and use of secondary data Includes online access to full text so you have access to the content anytime (Errata, July 2014), The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with contributions from sixteen experts in a variety of epidemiologic sub-disciplines, this new edition is by far the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical interference, and causal diagrams. Topics in data analysis range from Bayesian analysis, sensitivity analysis, and bias analysis, with an extensive overview of modern regression methods including logistic and survival regression, splines, hierarchical (multilevel) regression, propsensity scores and other scoring methods, and g-estimation. Special-topics chapters cover disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, clinical epidemiology, and meta-analysis. (Errata, July 2014), Publisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product. The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with contributions from sixteen experts in a variety of epidemiologic sub-disciplines, this new edition is by far the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical interference, and causal diagrams. Topics in data analysis range from Bayesian analysis, sensitivity analysis, and bias analysis, with an extensive overview of modern regression methods including logistic and survival regression, splines, hierarchical (multilevel) regression, propsensity scores and other scoring methods, and g-estimation. Special-topics chapters cover disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, clinical epidemiology, and meta-analysis. FEATURES: Comprehensive and cohesive text on the principles and methods of contemporary epidemiologic research Addresses the methodologic issues crucial to the wide range of epidemiologic applications in public health and medicine Major sections cover basic concepts, study design and conduct, data analysis, and special topics Completely revised and updated to bring you the most updated information New chapters cover causal modeling: Bayesian analysis, probabilistic bias analysis, social epidemiology, and use of secondary data Includes online access to full text so you have access to the content anytime (Errata, July 2014)

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