
Explore retrospective case-control study design, from defining cases and selecting controls to measuring exposure, matching, analysis, and interpreting odds ratios and relative risk.
Select and compare cases and controls in a retrospective case-control study to measure past exposure and its association with disease using odds ratios and relative risks, while addressing biases.
Understanding how and why diseases occur in populations is a core skill for every healthcare professional. Case–control studies are one of the most widely used analytical epidemiological study designs, especially for investigating rare diseases and conditions with long latency periods. However, many students find this topic confusing and difficult to apply in real research settings.
This course provides a clear, step-by-step introduction to case–control studies, beginning with the foundations of analytical epidemiology and progressing to the practical conduct, analysis, and interpretation of case–control research. The concepts are explained in a simple, structured, and exam-oriented manner, making the course ideal for medical, dental, nursing, and allied health science students.
You will first build a strong conceptual base by understanding the role of analytical epidemiology and how it differs from descriptive epidemiology. The course then walks you through the exact steps involved in conducting a case–control study, including defining cases and controls, exposure assessment, matching, and calculation of the odds ratio. Special emphasis is placed on common biases, along with the advantages and limitations of case–control studies, to help you critically appraise published research.
Throughout the course, learning is reinforced through quizzes, assignments, clinical examples, and simple explanations, ensuring that you not only understand the theory but are also able to apply it in exams, research projects, and evidence-based practice.
By the end of this course, you will have the confidence to design, conduct, interpret, and critically evaluate case–control studies, making this an essential foundation for further learning in epidemiology, biostatistics, and public health research.