A5030068461- Statistical Methods in Clinical Trials
- Health Systems, Economic Evaluations, Quality of Life
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- COVID-19 Clinical Research Studies
- COVID-19 and healthcare impacts
- Pneumonia and Respiratory Infections
- Climate Change and Health Impacts
- Venous Thromboembolism Diagnosis and Management
- Bayesian Methods and Mixture Models
- Atrial Fibrillation Management and Outcomes
- Cardiovascular Function and Risk Factors
- Genetic factors in colorectal cancer
- Global Health Care Issues
- Colorectal Cancer Screening and Detection
- Bariatric Surgery and Outcomes
- Cardiac Arrhythmias and Treatments
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Respiratory viral infections research
- demographic modeling and climate adaptation
- Advanced Causal Inference Techniques
- Multiple Myeloma Research and Treatments
- COVID-19 epidemiological studies
- HIV-related health complications and treatments
- Global Public Health Policies and Epidemiology
University of the West of Scotland
2024
University of Strathclyde
2018-2023
Queen's University Belfast
2023
Health Data Research UK
2020-2021
BackgroundUpdatable estimates of COVID-19 onset, progression, and trajectories underpin pandemic mitigation efforts. To identify characterise disease trajectories, we aimed to define validate ten phenotypes from nationwide linked electronic health records (EHR) using an extensible framework.MethodsIn this cohort study, used eight National Health Service (NHS) datasets for people in England alive on Jan 23, 2020. Data testing, vaccination, primary secondary care records, death registrations...
There is currently no consensus on whether atrial fibrillation (AF) patients at low risk for stroke (one non-sex-related CHA2DS2-VASc point) should be treated with an oral anticoagulant.We conducted a multi-country cohort study in Sweden, Denmark, Norway, and Scotland. In total, 59 076 diagnosed AF were included. We assessed the rates of or major bleeding during treatment non-vitamin K antagonist anticoagulant (NOAC), vitamin (VKA), treatment, using inverse probability weighted (IPTW) Cox...
Abstract Objectives To estimate the impact of COVID-19 pandemic on cardiovascular disease (CVD) and CVD management using routinely collected medication data as a proxy. Design Descriptive interrupted time series analysis anonymised individual-level population-scale for 1.32 billion records dispensed medications across 15.8 million individuals in England, Scotland Wales. Setting Community with 100% coverage from Wales, plus primary care prescribed England (including 98% English general...
Abstract Recent approaches to the statistical analysis of adverse event (AE) data in clinical trials have proposed use groupings related AEs, such as by system organ class (SOC). These methods opened up possibility scanning large numbers AEs while controlling for multiple comparisons, making comparative performance different terms AE detection and error rates interest investigators. We apply two Bayesian models procedures false discovery rate (FDR), which real trial safety data. find that...
Aims We report pathology findings from the first 10 years of faecal–occult blood‐based Northern Ireland Bowel Cancer Screening Programme, presenting summary data and trends in diagnoses clinicopathological features screen‐detected cancers. Methods results Data were analysed a comprehensive polyp‐level database representing all endoscopy specimens programme inception 2010 until 2021. A total 9800 individuals underwent 13 472 procedures, yielding 25 967 32 119 diagnoses. Index specimen (4.1%)...
Clinical trials are the standard approach for evaluating new treatments, but may lack power to assess rare outcomes. Trial results also necessarily restricted population considered in study. The availability of routinely collected healthcare data provides a source information on performance treatments beyond that offered by clinical trials, analysis this type presents number challenges. Hierarchical methods, which take advantage known relationships between outcomes, while accounting bias, be...
Carragher et al., (2020). c212: An R Package for the Detection of Safety Signals in Clinical Trials Using Body-Systems (System Organ Classes). Journal Open Source Software, 5(56), 2706, https://doi.org/10.21105/joss.02706
Database heterogeneity can impact effect estimates. Harmonisation provided by common protocols and data models (CDMs) increase the validity of pharmacoepidemiologic research. In a case study measuring changes in safety effectiveness stroke prevention therapy after introduction direct oral anticoagulants (DOACs), we performed an international comparison.Using from Stockholm, Denmark, Scotland Norway, harmonised with protocol CDM, two calendar-based cohorts were created: 2012 2017. Patients...