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
- The joint modelling of longitudinal and survival data
- Survival analysis, particularly parametric approaches to multi-state survival analysis
- Meta-analysis
- Statistical software development
- 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)
Professor Terry Brugha
Professor Simon Conroy
Professor Umesh Kadam
Dr Chris Williams cdw4@le.ac.uk
Dr Kate Williams
- 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
Professor Simon Conroy
- Comprehensive geriatric assessment
- Frailty
- Acute care
- Emergency care
- End of life care
- Mixed methods research
Professor Umesh Kadam
- 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
- 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
Dr Chris Williams cdw4@le.ac.uk
- 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
- Clinical Trial Interventions in Women’s Health - particularly Continence Care and Pelvic Floor Dysfunction
- Qualitative Research Methodology
- Reproductive Epidemiology
- Clinical Trial Methodology - including Complex Interventions
- 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