Keywords

This page lists names of the University of Bristol staff with expertise in health data science, grouped by area of research, i.e. ‘keyword’. Use the drop-down list at the top to search for colleagues with expertise in particular areas. If you wish to be added to this hub, please contact ebi-healthdatascience@bristol.ac.uk.

administrative data in epidemiology

adolescent health

alcohol policies

allergic diseases

analytics

antimicrobial resistance

antiretroviral therapy

applied dynamical systems

applied medical statistics

applied statistics

bayesian inference

bayesian statistics

behavioural genetics

behavioural interventions

brain sciences

cardiac arrest

cardiovascular

child health

clinical microbiology

clinical pharmacology

clinical trials

coherent structures

cohort data

cohort studies

complex data

computational neuroscience

computational statistics

cortical circuits

critical care

data management dietary patterns

data modelling

data visualisation

data-intensive computing

digital futures

digital humanities

digital innovation

ethical dilemmas

ethnic inequalities in health

evolutionary biology

fatherhood

health services delivery

healthcare management

hip replacemement

historical dynamics

hypertension

industrial mathematics

inequalities

informed consent

interdisciplinary mathematical modelling

knee replacement

learning disabilities

mathematical biology

mathematical data analysis

medical ethics

metal-on-metal

methodology for epidemiology

molecular data

multilevel modelling

musculoskeletal

neuropsychology

nonlinear waves

occupational risk

patient empowement

physical activity

polypharmacy

prescribing

public management

random effect modelling

record linkage

reproductive health

research governance

respiratory tract infections

social health inequalities

socioeconomic differences in health

static and worn sensors

synaptic plasticity

systematic reviews

technology

technology led business transformation

therapeutics

urinary tract infections

vascular disease

veterinary research

waiting times