The aim of the workshop is to gather statisticians, epidemiologists and data analysts interested in both methods and biomedical applications to discuss recent developments and future directions in modelling variability at the individual level.
The workshop will include talks from experts in longitudinal data analysis, flexible regression and joint modelling, working on the quantification of within-individual variability and its application in different biomedical fields.
Speakers:
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Donald Hedeker (University of Chicago)
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Philippe Rast (University of California)
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Sonja Greven (Humboldt-Universität zu Berlin)
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Hélène Jacqmin-Gadda (Université de Bordeaux)
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Jianxin Pan (BNU-HKBU United International College)
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David Steinsaltz (University of Oxford)
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Caterina Gregorio (Karolinska Institutet)
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Marco Palma (MRC Biostatistics Unit)
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Richard Parker (University of Bristol)
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Janne Pott (MRC Biostatistics Unit)
Please note, to help make this event inclusive and sustainable, the workshop will be delivered in a hybrid format, with the option to participate in person or virtually, and one of the keynote talks will be delivered virtually.
Programme: To view the latest programme, please go to: https://marcopalma3.github.io/wiv/programme/
Short Course: We will also be running a half-day, in-person short course which will complement the theme of the workshop, taking place on Wednesday 25th September.
To register for the course, please go to: https://onlinesales.admin.cam.ac.uk/conferences-and-events/mrc-biostatistics-unit/mrc-biostatistics-unit-short-courses/modelling-within-individual-variability-for-longitudinal-data-25-september-2024
For more information about the course, please go to: https://marcopalma3.github.io/wiv/shortcourse/
Scientific organisers: Jessica Barrett (Programme Leader at MRC Biostatistics Unit) and Marco Palma (Research Associate at MRC Biostatistics Unit)
Date:
Thursday, 26 September, 2024 - 09:30 to 17:00
Event location:
The Pitt Building, Trumpington Street, Cambridge CB2 1RP & online