Research interests

Our department conducts research in a range of epidemiological and biostatistics fields. Click on the names of individual researchers to find out more about their interests and publications.

Our researchers

  • Biostatistical consulting
  • Statistical methodology
  • Analysis of health data
  • Programming in Stata, R and SPSS
  • Randomised controlled trials
  • Regression modelling
  • Sample size calculations
  • Environmental epidemiology
  • Climate change
  • Transport
  • Road safety
  • Air quality
  • Biostatistical consulting
  • Statistical methodology
  • Analysis of health data
  • Programming in SAS and R
  • Clinical trials
  • Regression modelling
  • Routinely collected administrative data
  • Obesity prevention
  • Community-based interventions
  • Food policy
  • Food systems
  • Systems science approaches
  • Population nutrition
  • Dietary interventions
  • Nutrition labelling
  • Food composition and nutrient profiling
  • Dietary assessment methods
  • Public Health Nutrition
  • Equity
  • Food environments
  • Food policy
  • Mobile health
  • Nutrition interventions to lower blood pressure
  • Children’s nutrition
  • Environmental health
  • Health equity
  • Transport and health
  • Mathematical modelling
  • Climate change
  • Health geography
  • Spatial methodology
  • Geographic Information System
  • Mapping and visualisation
  • Curate data for projects in population health
  • Programming in R and SAS
  • Extract data from Stats NZ’s Integrated Data Infrastructure (IDI)
  • Pacific health
  • Arterial function parameterisation and clinical utility
  • Epidemiology, biostatistics, programming and data analysis
  • Nutritional epidemiology
  • Healthy and sustainable diets
  • Vegetarians, vegans and animal-source foods
  • Nutrition surveys
  • Public health nutrition
  • Monitoring of food composition and food environments
  • Nutrition interventions
  • Food and nutrition environments in education environments
  • Food and nutrition policy
  • Epidemiology of cancer
  • Screening for disease
  • Patient outcomes and quality of care
  • Epidemiological methods
  • Vitamin D and health
  • Arterial function and prediction of macrovascular and microvascular disease
  • Medical history
  • Epidemiology (particularly of vascular diseases)
  • Utilising big health data
  • Vascular risk prediction
  • Equity in vascular health
  • Evidence Based Medicine methods
  • Population health
  • Study design in epidemiology
  • Cohort studies
  • Survival analysis
  • Clinical risk prediction
  • Epidemiology of chronic diseases
  • Aetiological research
  • Youth health
  • Asian and ethnic minority health
  • Population health
  • Equity
  • Intersectionality
  • Mixed methods research
  • Digital health
  • mHealth
  • Artificial intelligence (AI) governance
  • Consumer perspectives of secondary data use
  • Mixed methods research
  • Public health nutrition
  • Monitoring of food environments
  • Sustainable diets
  • Nutrition surveys
  • Restricting marketing of unhealthy food to children
  • Food composition
  • Wholegrains
  • Epidemiology of cancer and other chronic diseases
  • Transport and health
  • Physical activity
  • Biomarkers
  • Patient outcomes and quality of care
  • Equity
  • Cohort studies
  • Routinely collected administrative data
  • Epidemiological methods
  • Epidemiology
  • Biostatistics
  • R programming
  • Study design
  • Teaching
  • Scabies and skin issues
  • Rheumatic heart disease
  • Sugar, carbohydrates and metabolic health
  • Epidemiology (particularly of vascular diseases)
  • Equity -vascular health and multimorbidity
  • Population health
  • Primary Care
  • Quality improvement
  • Routinely collected primary care and administrative data
  • Digital health
  • Evidence Based Medicine methods
  • Nutritional epidemiology
  • Diet quality in childhood: measurement, determinants and impact on health and wellbeing
  • Monitoring of population nutrition
  • Monitoring of food environments
  • Clinical epidemiology
  • Equity
  • Public health
  • Quality improvement
  • Routinely collected administrative data
  • Mental health
  • Sexual and reproductive health
  • Migrant health
  • Asian and other ethnic minority health
  • Public health
  • Evidence synthesis
  • Qualitative research
  • Co-design approach
  • Biostatistics
  • Clinical trials
  • Constrained maximum likelihood estimation
  • Programming in R and SAS
  • Statistical methodology
  • Survey research
  • Two-phase sampling designs
  • Biostatistical consulting
  • Statistical methodology
  • Routinely collected data for patient care
  • Prediction modelling
  • Digital health at emergency department
  • Programming in SAS