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Case-control studies Keogh, Ruth H.

By: Contributor(s): Material type: TextTextSeries: Publication details: New York Cambridge University Press 2014Description: x, 285 pISBN:
  • 9781107019560
Subject(s): DDC classification:
  • 614.4 K3C2
Summary: The case-control approach is a powerful method for investigating factors that may explain a particular event. It is extensively used in epidemiology to study disease incidence, one of the best-known examples being Bradford Hill and Doll's investigation of the possible connection between cigarette smoking and lung cancer. More recently, case-control studies have been increasingly used in other fields, including sociology and econometrics. With a particular focus on statistical analysis, this book is ideal for applied and theoretical statisticians wanting an up-to-date introduction to the field. It covers the fundamentals of case-control study design and analysis as well as more recent developments, including two-stage studies, case-only studies and methods for case-control sampling in time. The latter have important applications in large prospective cohorts which require case-control sampling designs to make efficient use of resources. More theoretical background is provided in an appendix for those new to the field. (http://www.cambridgeindia.org/showbookdetails.asp?ISBN=9781107019560)
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Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Ahmedabad Non-fiction 614.4 K3C2 (Browse shelf(Opens below)) Available 188515
Total holds: 0

The case-control approach is a powerful method for investigating factors that may explain a particular event. It is extensively used in epidemiology to study disease incidence, one of the best-known examples being Bradford Hill and Doll's investigation of the possible connection between cigarette smoking and lung cancer. More recently, case-control studies have been increasingly used in other fields, including sociology and econometrics. With a particular focus on statistical analysis, this book is ideal for applied and theoretical statisticians wanting an up-to-date introduction to the field. It covers the fundamentals of case-control study design and analysis as well as more recent developments, including two-stage studies, case-only studies and methods for case-control sampling in time. The latter have important applications in large prospective cohorts which require case-control sampling designs to make efficient use of resources. More theoretical background is provided in an appendix for those new to the field.
(http://www.cambridgeindia.org/showbookdetails.asp?ISBN=9781107019560)

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