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Aligning Methods with Aims: Data Considerations for Predictive Modelling for Health
LEIST, Anja
2025Wellcome Trust Workshop 'Ethics of Prediction in Health'
 

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Keywords :
causal inference in observational data; prediction modeling; algorithmic fairness; data equity; data biases; prediction of neurodegenerative disease
Research center :
Integrative Research Unit: Social and Individual Development (INSIDE) > PEARL Institute for Research on Socio-Economic Inequality (IRSEI)
Disciplines :
Sociology & social sciences
Public health, health care sciences & services
Author, co-author :
LEIST, Anja  ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Social Sciences (DSOC) > Socio-Economic Inequality
External co-authors :
no
Language :
English
Title :
Aligning Methods with Aims: Data Considerations for Predictive Modelling for Health
Publication date :
November 2025
Event name :
Wellcome Trust Workshop 'Ethics of Prediction in Health'
Event organizer :
Wellcome Trust
Event date :
3-5 November 2025
By request :
Yes
Audience :
International
Development Goals :
3. Good health and well-being
10. Reduced inequalities
European Projects :
H2020 - 803239 - CRISP - Cognitive Aging: From Educational Opportunities to Individual Risk Profiles
Funders :
European Union
Available on ORBilu :
since 14 November 2025

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