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DART: Design and Analysis of Randomised Trials
Clinical trials are considered the gold-standard study design when testing for a causal effect of a new treatment or intervention. There are, however, many challenges to be faced in the future. Read more.
SOMX: Statistical Omics
Advances in bio-processing, high-throughput technology, data storage and grid computing are producing vast amounts of accessible ‘omics data, for example nucleotide resolution genomic and transcriptomic data, as well as measures of downstream biological processes, such as metabolomic profiles. Read more.
SURPH: Statistical methods Using data Resources to improve Population Health
Improvement of population health is underpinned by quantification of disease burden, understanding what causes disease and evaluating interventions to reduce or prevent morbidity. Modern technology has enabled the collection and storage of ever increasing amounts of information, including electronic health records, new types of surveillance data, and data from genetic studies. Read more.
PREM: Precision Medicine and Inference for Complex Outcomes
The wealth of biological, clinical and epidemiological data now available, coupled with the resolution afforded by current high throughput technologies and the longitudinal follow-up of individuals, has led to a shift towards ever-finer patient/participant stratification to inform clinical practice. Read more.
News
Searching for a balanced view on response-adaptive randomization
What is response-adaptive randomization? Randomization as a method to allocate patients to treatments in a clinical trial, has long been…
Our latest results on real-time tracking of COVID19
The most recent report on our nowcasting and forecasting of COVID19 is available. Findings show: Our current estimate of the…
CSaP Podcast with Sylvia Richardson – Data, COVID-19 and lessons learned so far
In the 17th and final episode of the CSaP series on science, policy, and pandemics, host Dr Rob Doubleday and…
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