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Epidemiology : an introduction / Kenneth J. Rothman.

By: Material type: TextTextPublication details: New York, NY : Oxford University Press, c2012.Edition: 2nd edDescription: viii, 268 p. : ill. ; 24 cmISBN:
  • 9780199754557 (pbk. : alk. paper)
  • 0199754551 (pbk. : alk. paper)
Subject(s): DDC classification:
  • 614.4 23
LOC classification:
  • RA651 .R68 2012
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 Home library Shelving location Call number Copy number Status Barcode
Books Books Main Campus Library University of Eastern Africa, Baraton Main Stack RA 651.R68 2012 C.1 (Browse shelf(Opens below)) Available 91645
Books Books Main Campus Library University of Eastern Africa, Baraton Main Stack RA 651.R68 2012 C.4 (Browse shelf(Opens below)) Available 91641
Books Books Main Campus Library University of Eastern Africa, Baraton Main Stack RA 651.R68 2012 C.2 (Browse shelf(Opens below)) Available 91642
Books Books Main Campus Library University of Eastern Africa, Baraton Main Stack RA 651.R68 2012 (Browse shelf(Opens below)) C.3 Available 91640

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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