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Publications

Optimal strategies for learning multi-ancestry polygenic scores vary across traits

Lehmann B. et al, (2023), Nature Communications, 14

Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database.

Sinha S. et al, (2023), European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 63

Statistical inference with exchangeability and martingales.

Holmes CC. and Walker SG., (2023), Philos Trans A Math Phys Eng Sci, 381

Generating the right evidence at the right time: Principles of a new class of flexible augmented clinical trial designs.

Dunger-Baldauf C. et al, (2023), Clin Pharmacol Ther

A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic.

Li G. et al, (2023), Environ Int, 172

Learning from data with structured missingness

Mitra R. et al, (2023), Nature Machine Intelligence, 5, 13 - 23

Multivariate phenotype analysis enables genome-wide inference of mammalian gene function.

Nicholson G. et al, (2022), PLoS biology, 20

Interoperability of statistical models in pandemic preparedness: principles and reality.

Nicholson G. et al, (2022), Statistical science : a review journal of the Institute of Mathematical Statistics, 37, 183 - 206

Bayesian imputation of COVID-19 positive test counts for nowcasting under reporting lag

Jersakova R. et al, (2022), JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Author Correction: Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.

Willetts M. et al, (2022), Scientific reports, 12

Building an evidence standards framework for artificial intelligence-enabled digital health technologies

Unsworth H. et al, (2022), The Lancet Digital Health, 4, e216 - e217

Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study.

Padellini T. et al, (2022), The Lancet regional health. Europe

Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework

Nicholson G. et al, (2022), Nature Microbiology, 7, 97 - 107

Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis.

Mallon A-M. et al, (2021), BMC medical research methodology, 21

Viral genome wide association study identifies novel hepatitis C virus polymorphisms associated with sofosbuvir treatment failure

Smith DA. et al, (2021), Nature Communications, 12

The impact of age on genetic risk for common diseases

Jiang X. et al, (2021), PLOS Genetics, 17, e1009723 - e1009723

The epidemiological impact of the NHS COVID-19 app

Wymant C. et al, (2021), Nature, 594, 408 - 412

Oncogenic BRAF, unrestrained by TGFβ-receptor signalling, drives right-sided colonic tumorigenesis.

Leach JDG. et al, (2021), Nature communications, 12

Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision

Watson JA. et al, (2021)

Modelling the impact of rapid tests, tracing and distancing in lower-income countries suggest optimal policies varies with rural-urban settings

Jiang X. et al, (2021)

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