Skip to main content Skip to navigation

Epidemiological and Statistical Methods for Quality Improvement

This module introduces the basic concepts of epidemiology and statistics from a public health perspective and their influence on the health care sector. The module will provide an understanding of principles and methods applied in epidemiology, along with the use of data and statistical approaches that are used to describe and understand health of populations.


  • Critically review the impact of epidemiology on health policy and quality improvement
  • Understand different types of data and generate appropriate descriptive and inferential statistics
  • Understand measures of association in identifying risk factors of diseases, and the role of bias and confounding
  • Describe criteria for characterizing the causality of associations.
  • Conduct and interpret multiple linear regression, logistic regression.


  • Risk factors and diseases.
  • Types of data, descriptive statistics, probability and conditional probability.
  • Role of epidemiology in the design of quality improvement processes
  • Populations, sampling procedures, principals of inference, and sample size calculation.
  • Impact of epidemiology on national and local policy.
  • Inference in practice for different types of data.
  • Associating risk factors with disease incidence
  • Influence of epidemiology on ethical and professional issues
  • Evaluating the role of bias and confounding; Causation
  • Multiple linear regression, logistic regression

5 Days

Post module assignment

This is a course module on MSc Healthcare Operational Management.

Please note: the details of this module are correct for the current year of study and may be subject to change for future years.