2020-21 Quantitative Skills for Large Data Sets Projects
The Quantitative Skills for Large Data Sets theme addresses the MRC skill priority in quantitative skills and the MRC strategic research aims of investigating health through the life course, and how lifestyles and environment affect health.
| Supervisors | Project | Key Words |
|---|---|---|
| Kaja Abbas & Mark Jit | Health and economic impact modelling of cervical cancer elimination strategies at the global and national levels | Human papillomavirus vaccine Cervical cancer elimination Infectious disease modelling Cost-effectiveness analysis |
| Tom Barrick & Franklyn Howe & Rebecca Charlton | Predicting Alzheimer’s disease and vascular dementia using novel neuroimaging biomarkers | Alzheimer’s disease Artificial intelligence Machine learning Neuroimaging Magnetic resonance imaging Diffusion imaging |
| Bridget Bax & Yalda Jamshidi | Defining disease mechanisms and treatment responses in mitochondrial neurogastrointestinal encephalomyopathy (MNGIE) by multi-omics profiling and bioinformatical analysis | Metabolomics Bioinformatics Clinical trial miRNA MNGIE |
| Krishnan Bhaskaran & Elizabeth Williamson | Matched cohort methods in the analysis of e-Health data | Epidemiology Statistics Pharmacoepidemiology methods |
| Tihana Bicanic & Joseph Jarvis & Alan Pittman | Identifying immunogenetic factors underlying susceptibility, severity and outcome of cryptococcal meningitis in African HIV-infected patients | Cryptococcal meningitis Genome-wide association study Host-pathogen interaction Genomics Immunophenotyping |
| John Bradley & Peter Smith | Bayesian estimation of the aetiology of fever using big case-control data | Statistics Methodology Bayesian Aetiology Fever Big data |
| Elizabeth Brickley & Enny Paixao Cruz & Liam Smeeth | The association of prematurity with paediatric hospitalizations and deaths in Brazil (2001-2015): A population-based linkage study | Preterm Births Hospitalization Mortality Epidemiology Big Data Brazil |
| Amaya Bustinduy & Michael Miles | Development of molecular diagnostics for antihelmintic drug resistance monitoring in human schistosomiasis | Schistosomiasis Anthelmintic drug resistance Comparative genomics Quantitative epidemiology |
| Christopher Carroll & Shamima Rahman & Kate Everett | Utilizing whole genome sequencing to revolutionize diagnosis of neurological disorders | Whole genome sequencing Neurological disease Genomics Diagnostics Omics Genome editing |
| David Conway & David Baker | Adaptation and multiplication rate variation in the human malaria parasite Plasmodium falciparum | Malaria Transcriptome Genome Virulence Populations Disease |
| Phil Cooper & Irina Chis Ster | Children growth impairment and markers of environmental enteropathy | Environmental enteropathy Growth impairment |
| Sue Cotterill & Axel Nohturfft | How does the Df31 protein function to maintain chromatin structure and gene expression patterns | Chromatin structure Histone modifications RNAseq ChIPseq RIPseq HiC Bioinformatics |
| Thomas Cowling & Joanna Davies & Jan van der Meulen | Quantitative methods for analysing national electronic records for cancer patients in England: analysis of use of unplanned hospital care near the end-of-life | Clinical epidemiology Health services research Medical statistics End-of-life care Cancer Quantitative analysis |
| Karla Diaz-Ordaz & Stijn Vansteelandt | Double machine learning methods for estimating causal treatment effects on cancer survival outcomes in the presence of high-dimensional confounding | Causal inference Machine learning Targeted learning Genomics High-dimensional modelling |
| Rosalind Eggo & Antonio Gasparrini | Viruses, pollution and chronic disease: modern data scientific techniques to address drivers of disease at multiple scales | Data science Modelling Big data Electronic health records Infectious disease Air pollution |
| Sebastian Funk & Flavio Finger & Nicholas Thomson | Modelling optimal vaccination strategies for cholera outbreaks | Cholera Mathematical modelling Outbreak response vaccination Bioinformatics Phylodynamics |
| Peter Garrard & Thomas Richard Barrick | Understanding dimensionality in aphasic discourse | Dementia Discourse Linguistics Natural language processing Machine learning Deep learning |
| Antonio Gasparrini & Richard Atkinson & Ana Maria Vicedo-Cabrera | Epidemiological studies on environmental risk factors using big data methods | Big data Regression modelling Computing Air pollution Climate change |
| Rein Houben & Helen McDonald & Ian Douglas | Linking acute and chronic cough to undetected transmission of Mycobacterium tuberculosis – analysis of UK electronic health records and mathematical modelling | Tuberculosis Mtb transmission Respiratory tract infections Electronic health records Mathematical modelling |
| Yalda Jamshidi & Laura Southgate | Tackling rare neuromuscular diseases | Rare disease Neuromuscular Zebrafish Genetics |
| Nicholas Jewell & Clémence Leyrat | Methods for Addressing Immortal Time Bias: Application to Multiple Primary Melanomas | Survival analysis Melanoma Multi-state models |
| Suneetha Kadiyala & Elizabeth Allen | Application of causal mediation methods to examine the pathways to impact of an integrated agriculture-nutrition trial in India | Nutrition Agriculture Participatory learning and action Causal mediation analysis India Randomised controlled trial |
| Ruth Keogh & Linda Sharples & Elisa Allen | Insights into liver transplantation and blood transfusion using registry data: statistical methods and applications | Statistical methodology Registry data Organ transplantation Blood transfusion Observational data Time-to-event analysis Liver transplant |
| Sanjay Kinra & Iliatha Papachristou Nadal | Evaluation of Complex Interventions for Management of Non-Communicable Diseases in Low-Middle Income Countries | Process evaluation Non-communicable disease Disease management Mixed methods Global health |
| Petra Klepac & Adam Kucharski & Samuel Clifford | Using large-scale data on human mobility and social behaviour to understand the transmission and control of respiratory infections in the UK | Spatial epidemiology Complex interventions Human mobility Social contacts |
| Adam Kurcharski & Rachel Lowe & Sebastian Funk | Combining novel data streams to forecast acute febrile illness in the Dominican Republic | Forecasting Dengue Influenza Surveillance Modelling |
| Anna Last & Sanjeev Krishna & Taane Clark | Genomic epidemiology of Plasmodium falciparum in the context of mass drug administration for malaria control on the Bijagos Archipelago of Guinea Bissau | Malaria Transmission Genomics Epidemiology Cluster randomised control trials |
| Alex Lewin & Sanjay Kinra | Bayesian and probabilistic machine learning approaches for imputing and integrating spatiotemporal mobile phone location data | Big data Bayesian learning Machine learning Data integration |
| Clémence Leyrat & Aurélien Belot & Camille Maringe | Measuring and quantifying clustering in population-based cancer survival analyses | Clustering Cancer research Observational data Survival analysis |
| Jodi Lindsay & Gwenan Knight | Identification and characterisation of barriers to antimicrobial resistance gene transfer | Antimicrobial resistance Bacteria Genetics Evolution |
| David MacLeod & Rashida Ferrand & Andrea Low | Barriers to testing and treatment for adolescents and young people in sub-Saharan Africa | HIV epidemiology Adolescents Maternal education Statistical analysis |
| Nicky McCreesh & Tom Sumner | Modelling the impact of inter-community transmission on reductions in tuberculosis incidence achieved through case finding interventions | Tuberculosis Social contact Mathematical modelling South Africa |
| Joan Morris & Stephen James Weston Evans & Iain Carey | Using data from EUROmediCAT to develop statistical methods to Identify medications that might harm the fetus if taken during the first trimester of pregnancy | Medications Pregnancy Multiple comparison procedures |
| Jennifer Nicholas & Jonathan Rohrer & Chris Frost | Design of clinical trials in genetic frontotemporal dementia | Trial design Neurology Multivariate analysis Longitudinal analysis Statistics |
| Dorothea Nitsch & Alex Lewin | Bayesian and probabilistic machine learning models for predicting sub-clinical and clinical morbidity in electronic health record data | Big data Bayesian learning Machine learning Data integration |
| Neil Pearce & Lucy Pembrey & Simon Kemp | Neuropsychological, musculoskeletal and cardiovascular health outcomes of players transitioning out of professional rugby | Sport Rugby Health Concussion |
| Lucy Pembrey & Karin van Veldhoven | The role of the microbiome and epigenetics in asthma phenotypes and asthma control | Big data Biomarkers Asthma Big data Biomarkers Asthma |
| Lucy Platt & Rob Aldridge | Evaluating peer advocacy interventions for people experiencing homelessness on attendance at health services | Homelessness Peer advocacy Hospital episode statistics Epidemiology |
| Ian Roberts & Asma Khalil & Haleema Shakur-Still | Tranexamic acid for women with antepartum bleeding | Antepartum haemorrhage Tranexamic acid Pregnancy outcomes Stillbirth Preterm birth Randomised controlled trial |
| Alicja Rudnicka & Chris Frost & Christopher Owen | Retinal vessel size and shape associations with brain structure and function | Retinal vasculometry Brain features Neurodegenerative markers |
| Kalpana Sabapathy & Virginia Anne Bond & Richard Hayes | The role of alcohol in universal testing and treatment to reduce HIV incidence | HIV/AIDS Africa Universal test and treat Treatment as prevention Alcohol Cluster randomised trial |
| Jayne Sutherland & Hazel Dockrell & Taane Clark | Identification of biomarkers for TB treatment response and lung function outcome: a longitudinal, multi-site, cohort study | Tuberculosis Human Immunology Lung pathology Treatment response |
| Stijn Vansteelandt & Ruth Keogh | Use and development of statistical mediation techniques to understand the survival gap between males and females with cystic fibrosis | Statistical methodology Big data Mediation analysis Observational data Time-to-event analysis Cystic fibrosis |
| Elizabeth Williamson & Ian Douglas | Improving statistical and machine learning methods for High Dimensional Disease Risk Scoring | Statistical methodology Biostatistics Pharmacoepidemiology Machine learning High dimensional confounding |
| Angel Wong & Ian Douglas | How can we optimise and advance the use of negative controls in observational study designs? | Electronic health records Negative control Pharmacoepidemiology Cardiovascular safety Proton pump inhibitors Macrolides |