Mendelian Randomization Course, 26 - 27 March 2018
1. Student Registration
2. Academic/industry Registration
3. Half-Day Symposium Registration
1. Student Registration – Optional Items
2. Academic/industry Registration – Optional Items
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 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 R, although Stata can be used if preferred, and bring a laptop with R or Stata loaded. For others, it is possible to share practical sessions with those participants who have greater experience of running R or Stata.
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 based on Mendelian randomization.
Symposium: On the Wednesday morning, 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 course details or information please visit http://www.mrc-bsu.cam.ac.uk/training/short-courses/
For answers to conference queries, please email to email@example.com
Full refunds will be given for cancellation 28 or more working days before the course start date. Otherwise the full course fee will be charged. However, registrations may be transferable to another course or individual.
In the unlikely event that the short course has to be cancelled, our liability is limited to refund of course fees only. We recommend that delegates have adequate insurance cover to reclaim any travel or accommodation expenses.
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.
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.
Please visit http://www.mrc-bsu.cam.ac.uk/training/short-courses/ for additional information.