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BEGIN:VEVENT
DTSTAMP:20261007T072242Z
DTSTART;VALUE=DATE-TIME:20250203T130000
DTEND;VALUE=DATE-TIME:20250203T140000
SUMMARY:WCPM: Annabel Davies\, Bristol
TZID:Europe/London
UID:20250203-8ac672c593aebc280193cfeac670226d@warwick.ac.uk
CREATED:20250103T120037Z
DESCRIPTION:Location: A2.05B (there will be an informal sandwich lunch ou
 tside D2.02 at 12.30) Time: 13.00-14.00 To join this meeting online clic
 k here. Link opens in a new windLink opens in a new windowLink opens in 
 a new window Statistical physics and complex networks in meta-analysis: 
 from random walks to hypergraphs Annabel L Davies Network meta-analysis 
 (NMA) is a statistical method widely used in medical research to synthes
 ize evidence from multiple clinical trials comparing various treatments 
 for the same condition. The method derives its name from a graphical rep
 resentation of the data structure where nodes are the different treatmen
 t options\, and the connecting edges represent comparisons between treat
 ments in trials. In this talk\, I review recent and ongoing work that ex
 plores how topics from statistical physics and complex networks can be u
 sed to understand and improve NMA methodology. For example\, I present a
  recent analogy between NMA and random walks (RW) based on the establish
 ed analogies of both NMA and RW to electrical networks. I also discuss o
 ngoing work investigating the higher-order structure of treatment-trial 
 networks. I present a bipartite framework for NMA and show that\, in con
 junction with the RW analogy\, this reveals how information flows throug
 h the network. To conclude\, I discuss exciting potential avenues for fu
 ture research at the intersection of these disciplines.
LOCATION:A2.05B
CATEGORIES:WCPM,Women in Science
LAST-MODIFIED:20250103T120037Z
ORGANIZER;CN=Sarah Jarratt:
END:VEVENT
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