Building an evidence standards framework for artificial intelligence-enabled digital health technologies
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Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study.
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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.
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Mitigating Statistical Bias within Differentially Private Synthetic Data
Ghalebikesabi S. et al, (2022), Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022, 696 - 705
Mitigating Statistical Bias within Differentially Private Synthetic Data
Ghalebikesabi S. et al, (2022), Proceedings of Machine Learning Research, 180, 685 - 695
Neural Score Matching for High-Dimensional Causal Inference
Clivio O. et al, (2022), Proceedings of Machine Learning Research, 151, 7076 - 7110
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.
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Oncogenic BRAF, unrestrained by TGFβ-receptor signalling, drives right-sided colonic tumorigenesis.
Leach JDG. et al, (2021), Nature communications, 12
Towards a theoretical understanding of the robustness of variational autoencoders
Camuto A. et al, (2021)
High trait variability in optimal polygenic prediction strategy within multiple-ancestry cohorts
Lehmann BCL. et al, (2021)
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections
Camuto A. et al, (2021), Proceedings of Machine Learning Research, 139, 1249 - 1260
Conformal Bayesian Computation
Fong E. and Holmes C., (2021), Advances in Neural Information Processing Systems, 22, 18268 - 18279
Deep Generative Missingness Pattern-Set Mixture Models
Ghalebikesabi S. et al, (2021), Proceedings of Machine Learning Research, 130, 3727 - 3735