We are a European wide network of academic and industry researchers interested in the development and application of statistical methods to understand:
• Patterns of multimorbidity across the life course;
• The underlying causes of multimorbidity;
• The consequences of multimorbidity;
• The optimal treatment of those with multimorbidity
The group is chaired by Professor Jack Bowden (University of Exeter & GEMINI consortium) and Dr Ruth Bowyer (Kings College London & Alan Turing Institute). We meet bi-monthly on Zoom, providing the opportunity for group members to present their latest research findings and make new connections and collaborative links.
We are a cross-collaborative community of researchers spanning a wide geographical spread.
We meet every 2 months to discuss statistical methods relevant to Multimorbidity.
Presentation 1: “MR-AHC: A fast, efficient and robust method for two-sample summary data Mendelian Randomization based on Agglomerative Hierarchical Clustering”
Presented by: Dr Xiaoran Liang
Presentation 2: “The association between multi-morbidity and mental health during the Covid-19 pandemic: an explanatory study using 8 British longitudinal studies”
Presented by: Dr Jacques Wels
Meeting: 22 February 2023
‘Dynamics of multimorbidity and frailty, and their contribution to mortality, nursing home, and home care need in a Catalan primary care cohort of ageing people.’
‘Going from genetic correlation to casuation in multimorbidity research using Mendolean Randomization.’
‘Modelling trajectories of disease in multi-morbidity using population-level linked electronic health records.’
‘The combined impact of physical activity, sedentary behaviour and cardiometabolic comorbidities on cancer risk and survival among cancer survivors: the PaCoCanS project.’