We are running a two-day course on Mendelian randomization based on our book "Mendelian randomization: Methods for using genetic variants in causal estimation". The course will be held on Monday 13th November and Tuesday 14th November 2017 in the MRC Biostatistics Unit, University of Cambridge. Additionally, on the Wednesday morning (15th November 2017), there will be a half-day symposium that is open to course participants for a small fee. It is not a formal part of the course, and it will also be open to non-course attendees.

This course is now full. Spaces are still available on the symposium.

Register for the symposium only.

The next course will be held on Monday 26th March and Tuesday 27th March 2018, with a symposium on Wednesday 28th March. Please note that the list of course tutors will vary from course to course. We will also review the course timetable after each course.

Register for the next course.

Register for the next course symposium.

Course overview

Studies based on Mendelian randomization are increasingly being used to distinguish causal relationships from observational associations in epidemiology and to prioritize potential targets for pharmaceutical intervention. This course intends to explain both simple and more complex statistical methods for causal inference in Mendelian randomization studies, and the instrumental variable assumptions on which they are based. The course includes computing practicals (R and Stata will be supported).

Intended audience

Medical / applied / pharmaceutical statisticians, and quantitative epidemiologists (maximum 35 participants). The course material is relevant to causal inference in both epidemiology and drug development, and would be particularly suitable for a PhD or post-doc about to start a project using Mendelian randomization.

A copy of the book "Mendelian randomization: Methods for using genetic variants in causal estimation" is included in the course fees.


Further information can be obtained by mousing over the Course tab above, including:

Course outline and timetable

Course tutors




Contact details