Case-control studies

Author(s)

    • Keogh, Ruth H.
    • Cox, D. R. (David Roxbee)

Bibliographic Information

Case-control studies

Ruth H. Keogh, D.R. Cox

(Institute of mathematical statistics monographs, 4)

Cambridge University Press, 2014

Available at  / 7 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

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.

Table of Contents

  • Preface
  • Preamble
  • 1. Introduction to case-control studies
  • 2. The simplest situation
  • 3. Matched case-control studies
  • 4. A general formulation
  • 5. Case-control studies with other than two outcomes
  • 6. Special sampling designs
  • 7. Nested case-control studies
  • 8. Case-subcohort studies
  • 9. Misclassification and measurement error
  • 10. Synthesis of studies
  • Appendix. A theoretical diversion
  • References
  • Index.

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