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SUMMARY:IDE Seminar Series – Professor Sam Watson
DESCRIPTION:Sam Watson is a Professor of Biostatistics in the Department of
  Applied Health Research. His interests are in evaluation of interventions
  for public health\, health services\, and policy. He leads methodological
  research into novel approaches to evaluation\, including evaluation of in
 terventions exhibiting spatial effects and adaptive cluster trial designs.
  He is also currently PI of the NIHR funded BRIDGE study evaluating virtua
 l wards for patients with COPD in the West Midlands\; and statistical lead
  for trials of: improving cancer referrals in primary care in Kenya and Ni
 geria (PRIMED\; NIHR)\, mental wellbeing intervention for patients with ty
 pe I diabetes (D-STRESS\; NIHR)\, and\, continuous monitoring for women in
  labour in Nigeria\, Rwanda\, Pakistan\, and India (IMPALA-2\; Gates Found
 ation).\nAbstract: Cluster randomised trials randomly allocate groups of p
 articipants\, such as villages\, schools\, or hospitals\, to treatment and
  control conditions. A motivation for cluster-level randomisation is that 
 treatment may spillover to control participants in groups. Recent work hig
 hlights that many interventions\, particularly in infectious diseases and 
 public health\, exhibit spatial effects that also spillover between cluste
 rs. The widely used approach to this issue is a “fried egg” design tha
 t places a buffer zone between cluster areas sufficient to prevent spillov
 er.\nIn this talk\, I will consider new approaches to evaluating intervent
 ions that vary over space and time and the potential limitations to fried 
 egg-type designs. Where intervention effects can spread from treated to un
 treated participants and locations\, a wider range of estimands can be def
 ined\, including different types of direct and indirect effects. A standar
 d fried-egg design tries to eliminate indirect effects between clusters an
 d so may underestimate a treatment effect under a universal roll out. I wi
 ll describe modifications to trial designs to generate sufficient variatio
 n in indirect exposure to treatment to allow for the estimation and identi
 fication of a wide range of estimands.
URL:https://www.imperial.ac.uk/events/216092/ide-seminar-series-professor-s
 am-watson/
DTSTART;TZID=Europe/London:20261103T123000
DTEND;TZID=Europe/London:20261103T133000
LOCATION:202\, School of Public Health\, White City Campus\, London\, W12 0
 BZ\, United Kingdom
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