Health Sciences
Biostatistics
- Development and Application of Bayesian Methods in Healthcare Evaluation
- Systematic Reviews and Meta-Analysis
- Joint Modelling of Longitudinal and Time-to-Event Data
- Methods for multi-parameter evidence synthesis
- Bayesian methods in healthcare evaluation
- Bayesian evidence synthesis for surrogate endpoints evaluation
- Statistical methods in Health Technology Assessment
- Interface and Integration of Medical Statistics and Health Economics
- Methods for Statistical Modelling of Cost Data
- Integration of Evidence Synthesis within a Decision-Modelling Context
- Handling of Missing Data in Economic Evaluations Conducted Alongside Clinical Trials
- Application of Bayesian Statistical Methods to the above
- Design and Analysis of Randomised Clinical Trials (particularly cluster trials and those of complex interventions)
- Systematic Reviews and Meta-Analysis
- Prognostic model Development and Validation (see the Leicester Practice Risk Score)
- Relative Survival Methods, in particular Modelling of Excess Mortality
- Meta-Analysis and Research Synthesis
- Hierarchical Models
- Use of Bayesian Methods in Medical Statistics
- Statistical Modelling of Cost Data and Cost Effectiveness Analysis
- Prognostic Model Development and Validation
- Clinical Implementation of Prognostic Models
- Application of Novel Biostatistical Models to Kidney Data
- Methods for Analysing Population-Based Cancer Data
- Relative Survival Methods
- Modelling and Projecting Cancer Incidence
- Meta-Analysis and Systematic Review Methods
- Multi-Parameter Evidence Synthesis Including Network Meta-Analysis
- Statistical Methods in Health Economics and Health Technology Assessment
- Graphical Methods For Displaying Statistical Information
- Joint modelling of longitudinal and time-to-event data
- Prognostic model development and validation
- Health economic decision modelling
- Design and analysis of randomised controlled trials
- Evidence synthesis and meta-analysis
Diabetes Research Centre
- Lifestyle and obesity management for diabetes prevention
- Management of diabetes and cardiovascular risk in South Asian populations
- Clinical trial design
- Lifestyle and physical activity interventions in the treatment of chronic disease
- Clinical trial design
- Complex interventions, including self-management and diabetes prevention
- Novel glucose lowering therapies
- Sedentary behaviour and health
- Novel therapies for obesity
- Type 2 diabetes mellitus in younger patients
- Diabetes screening
- Levels and patterns of physical activity and sedentary behaviour in different populations
- Effects of physical activity and sedentary behaviour on metabolic health and chronic disease
- Interventions to increase physical activity and reduce sedentary behaviour
- Objectively measured physical activity and sedentary behaviour
- Randomised controlled trials
- Evidence synthesis and decision models for health research
- Economic evaluation of healthcare interventions
- Systematic Reviews and Meta-Analysis
- Prevention of diabetes and cardiovascular disease
- Design and Analysis of Randomised Clinical Trials (particularly cluster trials and those of complex interventions)
- Systematic Reviews and Meta-Analysis
- Prognostic model Development and Validation (see the Leicester Practice Risk Score)
- Using physical activity to prevent chronic disease in children, adults and families.
- Design and evaluation of school and community based prevention programmes
- Understanding young people’s screen use
- Using screens to promote physical activity in young people
- Body composition assessment
- Epidemiological studies of diabetes and cardiovascular disease and early detection and screening for these diseases, in particular among South Asian people
- Interventional studies of prevention of type 2 diabetes and cardiovascular disease
- Models of delivering care for people with diabetes and cardiovascular disease
- Hypoglycaemia
- Therapeutic inertia
- Objective measurement of free-living physical behaviours (physical activity, sedentary behaviour and sleep)
- Analytical methods for the quantification of physical behaviours
- Effects of physical behaviours on health
- Continous Glucose Monitoring and hyperinsulinaemic – euglycaemic clamp systems
- Novel biomarkers in the prediction and management of Type 2 diabetes
- Insulin sensitivity measures and their therapeutic application in human diabetes research
- Epidemiology of screen-detected type 2 diabetes and early phase glucose dysregulation
- Novel vasculopathic mechanisms in Type 1 and Type 2 Diabetes mellitus
- Effects of sedentary behaviour and different types of physical activity on metabolic health
- Treatment and prevention of type 2 diabetes and chronic disease by decreasing sedentary behaviour, and increasing standing, light movement and other movement-based therapies
- Physical activity epidemiology using regional, national and international datasets
- Translating physical activity and diabetes prevention programmes into routine practice
Genetic Epidemiology
- Methods for Inferring Causality from Observational Epidemiological Data
- Methods for Estimating Relationships from Genetic Marker Data
- Graphical Modelling of Complex Problems in Genetics
- Methods for Incorporating Pedigree Information in Genetic Analyses
- Statistical Methods in Genetic Association Studies
- Prediction of Disease Risk from Genetic Data
- Mendelian Randomisation for Causal Inference in Epidemiology
- Integrative Analysis of Genetic, Epigenetic and –Omic Data
- Evolutionary Analysis of Malignant Tumour
- Genetic Epidemiology of Cardiovascular Disease, Breast Cancer, and Psychiatric Disorders
Dr Anna Guyatt
- Epidemiology of multimorbidity, particularly cardiorespiratory multimorbidity
- Genetic epidemiology of lung function and respiratory disease
- Mendelian randomisation for causal inference in epidemiology
- Development of longitudinal population cohort studies
- Methods for the Meta-Analysis of Genetic Association Studies
- Methods for Estimating Phenotype-Disease Associations using Mendelian Randomisation
- Methods for Analysing Whole Genome Scans
- Methods for the Joint Analysis of ‘Omics Datasets
- Investigation of the genetic determinants of common complex diseases and traits, including:
- precision medicine
- genome-wide studies of common and rare sequence variation
- influence of copy number variation
- lung function and respiratory disease
- smoking cessation
- cardiovascular disease and traits, particularly blood pressure
- genomics in drug discovery, drug repositioning and stratified medicine
- development and utilisation of new methods for the above studies
Mental Health, Ageing, Public Health and Primary Care (MAPP)
- Measurement (Psychopathology, Stressful Life Events, Social Networks, Autism in Adulthood)
- Social Support Networks
- Prevention of Depression
- Evaluation of Services for the Severely Mentally Ill
- Epidemiological Surveys of Mental Disorders including Autism Spectrum Disorders
- Comprehensive geriatric assessment
- Frailty
- Acute care
- Emergency care
- End of life care
- Mixed methods research
- Heart failure
- Multimorbidity
- Ageing
- Clinical epidemiology
- Clinical informatics
- Data science
- Healthcare systems
Professor Alice Smith (Kidney Lifestyle Research Group)
We are engaged in a translational pathway, spanning experimental research through to implementation, centred on the key aims of improving/maintaining physical function and enabling/encouraging regular physical activity in Chronic Kidney Disease (CKD).
Overall we hypothesise that our proposed translational pathway will:
- improve quality of life in CKD
- improve patient health outcomes in CKD
- reduce the healthcare and socio-economic cost burden of CKD
via impact on:
- activities of daily living, self-care and employment
- engagement in activities that are meaningful and important to the individual (hobbies, leisure activities, social activities)
- independent living
- ability to fulfil caring responsibilities for others eg spouse, parents, children
- metabolic and cardiovascular health
- cardiovascular events
- co-morbidities
- falls
- deterioration of renal function in those whose CKD is associated with poor metabolic and/or vascular health
- health and social care usage
- Older person’s care across primary, secondary, community and social care
- Health systems, workforce development, quality and safety in primary care
- Complex intervention studies and use of mixed methods
- Primary care approaches to global health
Dr Kate Williams
- Incontinence
- Women's health
- Qualitative research methods
- Mixed methods research
Social Science Applied to Health Improvement Research (SAPPHIRE)
- Healthcare improvement research, particularly drawing on social science theory and methods
- Population-based screening
- Women’s and children’s health
- Overdiagnosis, overtreatment, and overuse
- Qualitative research methods
- Development and evaluation of complex interventions in healthcare
- Migration and healthcare
- Patient safety and quality improvement
- contribution of patients and families to safety, particularly regarding escalation of care for life threatening illness
- Service boundaries and their implications for patient journeys, safety and quality
- e-health technologies and telemedicine, and changing patient-provider relationships
- role of measurement in improvement and implementation science
- ethnographies of health care work
- Influences on staff and patient behaviours related to prevention of healthcare associated infections and optimisation of antibiotic use
- Patient experience of quality and safety in healthcare
- Theory-based intervention development & evaluation
- Qualitative Research; ethnography
The Infant Mortality and Morbidity Studies (TIMMS)
- Data harmonisation and standardisation for preterm birth cohorts – both national and international
- Outcomes from neonatal and paediatric intensive care
- Surveillance and confidential enquiries into perinatal mortality and morbidity
- Developmental psychology and psychopathology
- Assessing neurodevelopmental outcomes in childhood
- Long term neurodevelopmental outcomes after high risk birth
- Educational outcomes after high risk birth
- Statistical methodology around the measurement and monitoring of adverse pregnancy outcomes
- Qualitative research to understand parents’ and clinicians’ experiences of pregnancy loss, neonatal mortality and preterm birth
- Use of large-scale routine health data to monitor and reduce inequalities in health
- The use of quantitative data for quality improvement in healthcare
- Statistical process control (SPC) methodology applied to healthcare
- Statistical methods for the routine reporting of healthcare quality indicators
- The selection of quality indicators for quality assurance and quality improvement in healthcare
- Effects of gestational age at birth on neonatal and later outcomes
- Late preterm and early term birth
- Assessment and management of neonatal pain
- Enteral feeding in preterm infants
- Neonatal randomised controlled trials