Introduction to Quantitative Bias Analysis

Data analyses usually make assumptions (which may be explicit or, more commonly, implicit): for example, “no unmeasured confounding”. When assumptions are untestable their potential importance can only be addressed through a quantitative bias analysis (also known as a sensitivity analysis). This course will introduce you to quantitative bias analysis methods that have been developed to account for unmeasured sources of bias due to confounding, non-random selection into a study, and measurement error/misclassification.

Date 25 March 2024
Fee £0 (pilot course)
Format Online
Audience Internal University of Bristol only, pilot course (prerequisites apply)

This internal course is open to UoB staff and students only.  If you are unsure whether you are eligible to attend please contact us.

Image of white lines running across a red background Course profile

This course is an introduction to quantitative bias analysis (also known as a sensitivity analysis) to unmeasured sources of bias.

Please click on the sections below for more information. 

Web banner in red and white with the text Bristol Medical School Short Courses Bookings for this course are now closed

Really well structured, good overview, good signposting to further resources/reading. Presenters clearly very knowledgeable about the topic

Course feedback (March 2024)
Edit this page