| Introduction | > | Learning Objectives |
> | Student Role |
> | Study Design |
> | Data Collection |
> | Data Analysis |
> | Discussion Questions |
> | |
Print Module |
Traditionally, case-control studies have been viewed as an alternative to cohort studies in which individuals were selected on the basis of whether or not they had the disease outcome of interest, with investigators then comparing exposure history between those with the disease (the cases) and those free of the disease (the controls). More recently, the theory behind the case-control study has been re-imagined as a method of selecting a subset of an underlying cohort giving rise to the cases in the study. The case-control study design is an excellent choice of study when the disease is rare, has a long induction period, the exposure data are difficult to obtain, or very little is known about the disease. In these situations a cohort study is generally prohibitively expensive or the time frame of the study required for data collection is impractical. Unlike cohort studies, case-control studies identify cases of the disease of interest in their population and then compare their exposure experience to sampled controls. As you will learn in the following exercise, this method is deceptively simple, and if not planned carefully, can lead to spurious findings.
![]() |
“The case-control study's simplicity
sometimes makes us forget just
how elegant and revolutionary
a creation it was of 20th century
chronic disease epidemiology.” |
Read more about Dr. Neugut's work:
| Introduction | > | Learning Objectives |
> | Student Role |
> | Study Design |
> | Data Collection |
> | Data Analysis |
> | Discussion Questions |