Case-Control Studies

Ruth H. Keogh, D. R. Cox

• Publisher: Cambridge University Press
• Year: 2014
• ISBN:
  9781139698719
• Topic: Mathematics
• Subtopic: Probability & Statistics
• Index: Mathematics

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

• Cover
• Half title
• Series
• Title
• Copyright
• 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 more 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