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Professor Margaret May

Prognostic modelling and HIV epidemiology

twitter @mmaybristol @mmaybristol

Margaret is a Reader In Medical Statistics with a PhD in prognostic modelling. Her research interests include methods for modelling missing data, longitudinal data analysis, survival analysis with competing risks, life expectancy and joint modelling of biomarkers and time to event data. She is co-Principal Investigator with Jonathan Sterne for the Antiretroviral Therapy Cohort Collaboration which collects data from cohorts of treated HIV positive individuals in Europe and North America in order to investigate prognosis.  As well as her work on epidemiology of HIV and AIDS, Margaret is actively engaged in projects on cardiovascular risk scoring, prognosis of renal patients on dialysis, biomarkers for childhood neurblastomas and investigating heterogeneity of chronic fatigue syndrome.

Research keywords

  • epidemiology
  • medical statistics

Diseases related to this field of research

  • CVD
  • chronic fatigue syndrome/renal disease

Processes and functions relevant to this work

  • health services research


  • Antiretroviral Therapy Cohort Collaboration
  • UK Collaborative HIV Cohort (UKCHIC) Study
  • Swiss HIV Cohort Study (SHCS)
  • Collaboration of Observational HIV Epidemiological Research Europe (COHERE)
  • International Epidemiologic Databases to Evaluate AIDS
  • IeDEA Southern Africa and West Africa
  • The North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD)
  • HIV-CAUSAL Collaboration
  • The CFAR Network of Integrated Clinical Systems (CNICS)