Mendelian Randomization Course
Location: MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge CB2 0SR
Dates: Wednesday 20th – Thursday 21st March 2019
Intended audience: Medical / applied / pharmaceutical statisticians, and quantitative epidemiologists (maximum 35 participants). The course material is relevant to causal inference in a wide range of fields including epidemiology, drug development and social sciences, and would be particularly suitable for a PhD or post-doc about to start a project using Mendelian randomization.
Prerequisites: Knowledge of applied statistical methods used in epidemiological studies is assumed (e.g. epidemiological study designs, multiple logistic regression). No prior knowledge of genetics, instrumental variable techniques, or Mendelian randomization is necessary.
Computing practicals: Participants will gain most from the practicals if they have a working knowledge of either R or Stata, and bring a laptop with R or Stata loaded. For others, it is possible to share the practical sessions with those participants who have this experience.
Course objectives: After the course, participants should have sufficient knowledge to undertake their own Mendelian randomization analyses, to understand the assumptions on which causal inferences are based, and to critically appraise published studies using Mendelian randomization.
Software download: Details of software to be downloaded for use on the course practicals will be given to course participants. Please do not worry if there are any problems with the software, as there will be an opportunity for installation during the course.
Symposium: On the Friday morning (22nd March), there will be a half-day symposium that is open to course participants. It is not a formal part of the course, and it will also be open to non-course attendees. The aim of the symposium will be to present more cutting-edge methodology for Mendelian randomization that is either still under development, or not relevant to all applications of Mendelian randomization (examples of the latter would be multivariable Mendelian randomization and methods for estimation of non-linear causal relationships).
For further details regarding the symposium, click here
Accommodation: Participants requiring accommodation for the short course are to make arrangements directly themselves. We have provided a list on the course website on some useful accommodation links but please do check out the Cambridge tourist office http://www.visitcambridge.org/accommodation for a full list of hotels and guest houses.
Contact: For any queries relating to the course or the symposium, please email firstname.lastname@example.org