The Future of Mendelian Randomization Studies 2020

- Rescheduled -

13 - 17 July 2020

Venue: Lorentz Center@Oort

If you are invited or already registered for this workshop, you have received login details by email.

This workshop has been rescheduled to 13 - 17 December 2021

When randomized trials are not feasible, observational studies carefully analyzed with appropriate causal inference methods are our best bet for informing clinical and societal decisions. As many urgent and important public health questions cannot be ethically or feasibly addressed with randomized trials, it is all the more important that observational studies are appropriately analyzed. Because of limitations with conventional approaches alongside the increasing availability of genetic data, recent years have seen a huge rise in “Mendelian randomization” analyses which use genetic information to help address some of these types of questions. While Mendelian randomization methods have several strengths, there are open questions in terms of best practices for the conduct and reporting of these analyses. Our workshop aims to bring together epidemiologists, statisticians, geneticists, and others with relevant medical or mathematical expertise in order to tackle these questions head-on.

This workshop will be considered a success if we collectively identify and/or begin to develop empirically supported guidelines for Mendelian randomization analyses, have obtained systematic comparisons of available analytic methods via our data challenge, and have a research agenda for prioritizing subtopics for further research.

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    Monday 13 July

    This five-day workshop will bring together researchers with expertise in Mendelian randomization or related subfields (including, for example, genetics, epidemiology, statistics, biostatistics, medicine, and causal inference). A preliminary program scheme is provided below.

     

    10:0001:15 Welcome by the Lorentz Center
    10:1512:00 Introductions and vision
    12:0013:30 Lunch
    13:3015:00 Introduction to data challenge and small group discussions
    15:0015:30 Coffee break
    15:3017:00 Structured discussion: Interpretation and vocabulary
    17:0018:30 Reception (wine and cheese) poster session

    Tuesday 14 July

    09:0010:15 Lecture and discussion: Presentations by junior researchers
    10:1510:30 Coffee break
    10:3012:00 Data challenge and small group work
    12:0013:30 Lunch
    13:3015:00 Data challenge and small group work
    15:0015:30 Coffee break
    15:3017:00 Structured discussion: Triangulation

    Wednesday 15 July

    09:0010:15 Lecture and discussion: Presentations by junior researchers
    10:1510:30 Coffee break
    10:3012:00 Data challenge and small group work
    12:0013:30 Lunch
    13:3015:00 Data challenge and small group work
    15:0015:30 Coffee break
    15:3017:00 Structured discussion: Robust methods
    17:0021:00 Workshop dinner

    Thursday 16 July

    09:0010:15 Lecture and discussion: Presentations by junior researchers
    10:1510:30 Coffee break
    10:3012:00 Data challenge and small group work
    12:0013:30 Lunch
    13:3015:00 Data challenge and small group work
    15:0015:30 Coffee break
    15:3017:00 Structured discussion: Failure time models

    Friday 17 July

    09:0010:15 Data challenge presentations
    10:1510:30 Coffee break
    10:3012:00 Discussion: Data challenge results with respect to vision
    12:0013:30 Lunch
    13:3015:00 Summary discussion and next steps
    Please login to view the participants information. You have received the log in details in your registration confirmation.

    Sonja Swanson, Erasmus MC  

    Deborah Lawlor, University of Bristol  

    Eric Tchetgen Tchetgen, University of Pennsylvania  


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