Samuel Watson


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Applied statistics: experimental design, cluster trials, spatial statistics


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Personal profile

Research interests

I am a statistician in the Instititue of Applied Health Research. My research interests relate to experimental design, particularly cluster randomised trials, spatial statistics, and their intersection. Recent and ongoing grants I lead include an MRC/NIHR funded project examining the design and analysis of evaluations of interventions in space (and time), particularly focussing on generalised linear geospatial and mixed models; an NIHR/UKRI funded project on methods for real-time disease surveillance using geospatial prevalence mapping methods; and a small GCRF project piloting use of low-cost imperfect tests as outcome measures for prevalence estimation and evaluation of local interventions. 

I am also a co-investigator for several global health trials and survey-based projects including the NIHR Global Health Research Unit on Improving Health in Slums (NIHR), a stepped-wedge trial of integrating depression care into routine HIV and chronic illness services in Malawi (NIH), the NIHR RIGHT programme on leprosy and Buruli ulcer, and a stepped-wedge trial of remote telephone consulting in Tanzania and Nigeria (NIHR/GCRF).

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 1 - No Poverty
  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 5 - Gender Equality
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities


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Collaborations and top research areas from the last five years

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