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Publications

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

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

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

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

Nicholson G. et al, (2022), Nat Microbiol, 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

The epidemiological impact of the NHS COVID-19 app.

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

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

Watson J. 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)

High trait variability in optimal polygenic prediction strategy within multiple-ancestry cohorts

Lehmann BCL. et al, (2021)

Conformal Bayesian Computation

Fong E. and Holmes C., (2021), Advances in Neural Information Processing Systems, 22, 18268 - 18279

Multi-Facet Clustering Variational Autoencoders

Falck F. et al, (2021), Advances in Neural Information Processing Systems, 11, 8676 - 8690

Neural Ensemble Search for Uncertainty Estimation and Dataset Shift

Zaidi S. et al, (2021), Advances in Neural Information Processing Systems, 10, 7898 - 7911

On Locality of Local Explanation Models

Ghalebikesabi S. et al, (2021), Advances in Neural Information Processing Systems, 22, 18395 - 18407

Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels

Willetts M. et al, (2020), Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020, 5286 - 5295

Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis.

Kendall M. et al, (2020), The Lancet. Digital health, 2, e658 - e666

Correction to: Graphing and reporting heterogeneous treatment effects through reference classes.

Watson JA. and Holmes CC., (2020), Trials, 21

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