Case-control studies
Author(s)
Bibliographic Information
Case-control studies
(Institute of mathematical statistics monographs, 4)
Cambridge University Press, 2014
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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.
by "Nielsen BookData"