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Epidemiology an introduction Kenneth J. Rothman.

By: Material type: TextTextPublication details: New York, NY : Oxford University Press, 2012.Edition: 2nd edDescription: viii;268 p. ill. ; 24 cmISBN:
  • 9780199754557
Subject(s): DDC classification:
  • 614.4 23
NLM classification:
  • WA 950
Contents:
Introduction to epidemiologic thinking -- Pioneers in epidemiology and public health -- What is causation? -- Measuring disease occurrence and causal effects -- Types of epidemiologic studies -- Infectious disease epidemiology -- Dealing with biases -- Random error and the role of statistics -- Analyzing simple epidemiologic data -- Controlling confounding by stratifying data -- Measuring interactions -- Using regression models in epidemiologic analysis -- Epidemiology in clinical settings.
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Holdings
Item type Current library Collection Call number Status Barcode
Book Book Air University Fazaia Medical College Library Fazaia Medical College 1st Floor Community Medicine 614.4 R842E (Browse shelf(Opens below)) Available FMCP2015
Book Book Air University Fazaia Medical College Library Fazaia Medical College 1st Floor Community Medicine 614.4.4 R842E (Browse shelf(Opens below)) Available FMCP2051
Book Book Air University Fazaia Medical College Library Fazaia Medical College 1st Floor Community Medicine 614.4.4 R842E (Browse shelf(Opens below)) Available FMCP2052
Browsing Air University Fazaia Medical College Library shelves, Shelving location: Fazaia Medical College 1st Floor, Collection: Community Medicine Close shelf browser (Hides shelf browser)
614.4.4 R842E Epidemiology 614.4.4 R842E Epidemiology 614.4 R842E Epidemiology 614.44 GHA-F Fundamentals of Community & Preventive Dentistry

Includes bibliographical references and index.

Introduction to epidemiologic thinking -- Pioneers in epidemiology and public health -- What is causation? -- Measuring disease occurrence and causal effects -- Types of epidemiologic studies -- Infectious disease epidemiology -- Dealing with biases -- Random error and the role of statistics -- Analyzing simple epidemiologic data -- Controlling confounding by stratifying data -- Measuring interactions -- Using regression models in epidemiologic analysis -- Epidemiology in clinical settings.

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