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Modern Epidemiology 3Rd Edition at Meripustak

Modern Epidemiology 3Rd Edition by Rothman, Wolters Kluwer | Lippincott Williams and Wilkins

Books from same Author: Rothman

Books from same Publisher: Wolters Kluwer | Lippincott Williams and Wilkins

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General Information  
Author(s)Rothman
PublisherWolters Kluwer | Lippincott Williams and Wilkins
Edition3
ISBN9781451190052
Pages758
BindingHardcover
LanguageEnglish
Publish YearJanuary 2013

Description

Wolters Kluwer | Lippincott Williams and Wilkins Modern Epidemiology 3Rd Edition by Rothman

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; and includes online access to full text so you have access to the content anytime (Errata, July 2014).



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