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Case-Control Studies / Ruth H. Keogh, D. R. Cox.

By: Contributor(s): Material type: TextTextSeries: Institute of Mathematical Statistics Monographs ; 4 | Institute of Mathematical Statistics Monographs ; 4.Publisher: Cambridge : Cambridge University Press, 2014Description: 1 online resource (293 pages) : digital, PDF file(s)ISBN:
  • 9781139094757 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 614.4 23
LOC classification:
  • RA652 .K46 2014
Online resources: 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.
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Title from publisher's bibliographic system (viewed on 04 Apr 2016).

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.

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