Mendelian Randomization Course, 03-21 March 2025Info Location Attendee Categories Contact More Info Event Information
DescriptionThe course comprises four half-days’ worth of content plus the final hackathon, and will take place over 3 weeks (plus a preliminary week 0). It consists of some on-demand pre-recorded content and some timetabled (live) content. The first day of Week 1 will be Monday 3rd March 2025. All the core content of the course is pre-recorded - live sessions are not compulsory to attend, but are supplementary to the core content. They represent a chance to engage with the course tutors. Several of the live sessions will be recorded. Each half-day can be done whenever is convenient. A half-day of content includes three pre-recorded talks (around 20-30 minutes each) and one practical session (around 1-1.5 hour). Each of the three computer practicals should be performed individually, but there is an associated live drop-in session to come and ask questions. There is also a recorded debrief session that runs through the practical content. In terms of live content, in addition to the practical drop-in sessions, paper discussion, and hackathon, there is also a question and answer session each week to ask your questions. Questions can be asked during the week on a dedicated Slack channel, or you can ask questions live (Q+A sessions will be recorded). University of Cambridge Students and Staff, whose department will be covering the participation cost, please raise a Purchase Order (or contact a member of your department who can assist with this) and send a PDF of the Purchase Order to [email protected] . You will then be sent the passcode which you will need to use along with the Purchase Order number to complete registration below, selecting the 'UoC Student/Staff Registration' option.
Event Location
Attendee Categories2. External Student Registration
Additional ItemsContactEmily Bassett More InformationThe hackathon is an opportunity to perform your own Mendelian randomization investigation to use the skills you have gained during the course. This can be done individually or as part of a group. Participants should choose one of the papers for the timetabled paper discussion (Practical 3), and one hackathon session, based on their availability and preference.
Course tutors: Stephen Burgess (MRC Biostatistics Unit and Cardiovascular Epidemiology Unit, University of Cambridge) Ville Karhunen (MRC Biostatistics Unit) Janne Pott (MRC Biostatistics Unit) Ang Zhou (MRC Biostatistics Unit) Amy Mason (Cardiovascular Epidemiology Unit, University of Cambridge) Dipender Gill (Imperial College London)
Intended audience: Medical / applied / pharmaceutical statisticians, and quantitative epidemiologists. 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 coding support is provided. We are happy if participants want to use an alternative software package (eg Stata), but we are limited as to how much we can support this. 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. For further course details or information please visit http://www.mendelianrandomization.com/index.php/online-course For answers to course queries, please email [email protected] Cancellation Policy 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. Please visit http://www.mrc-bsu.cam.ac.uk/training/short-courses/ | |||||||||||||||
