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Radka Jersakova
Radka Jersakova
The Alan Turing Institute
Verified email at turing.ac.uk
Title
Cited by
Cited by
Year
Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework
G Nicholson, B Lehmann, T Padellini, KB Pouwels, R Jersakova, J Lomax, ...
Nature Microbiology 7 (1), 97-107, 2022
46*2022
Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: a population-based ecological study
T Padellini, R Jersakova, PJ Diggle, C Holmes, RE King, BCL Lehmann, ...
The Lancet Regional Health–Europe 15, 2022
282022
Inferring proximity from Bluetooth low energy RSSI with unscented Kalman smoothers
T Lovett, M Briers, M Charalambides, R Jersakova, J Lomax, C Holmes
arXiv preprint arXiv:2007.05057, 2020
232020
Understanding metacognitive confidence: Insights from judgment-of-learning justifications
R Jersakova, RJ Allen, J Booth, C Souchay, AR O'Connor
Journal of Memory and Language 97, 187-207, 2017
212017
Interoperability of statistical models in pandemic preparedness: principles and reality
G Nicholson, M Blangiardo, M Briers, PJ Diggle, TE Fjelde, H Ge, ...
Statistical science: a review journal of the Institute of Mathematical …, 2022
202022
Investigating the role of assessment method on reports of déjà vu and tip-of-the-tongue states during standard recognition tests
R Jersakova, CJA Moulin, AR O’connor
Plos one 11 (4), e0154334, 2016
202016
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
H Coppock, G Nicholson, I Kiskin, V Koutra, K Baker, J Budd, R Payne, ...
Nature Machine Intelligence 6 (2), 229-242, 2024
192024
Metacognitive judgements of perceptual-motor steering performance
CD Mole, R Jersakova, GK Kountouriotis, CJA Moulin, RM Wilkie
Quarterly Journal of Experimental Psychology 71 (10), 2223-2234, 2018
132018
A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic
G Li, H Denise, P Diggle, J Grimsley, C Holmes, D James, R Jersakova, ...
Environment International 172, 107765, 2023
122023
Design choices for productive, secure, data-intensive research at scale in the cloud
D Arenas, J Atkins, C Austin, D Beavan, AC Egea, S Carlysle-Davies, ...
arXiv preprint arXiv:1908.08737, 2019
102019
Negative affect does not impact semantic retrieval failure monitoring.
R Jersakova, C Souchay, RJ Allen
Canadian Journal of Experimental Psychology/Revue canadienne de psychologie …, 2015
92015
Wastewater-based surveillance models for COVID-19: A focused review on spatio-temporal models
F Torabi, G Li, C Mole, G Nicholson, B Rowlingson, CR Smith, ...
Heliyon, 2023
72023
Bayesian imputation of COVID-19 positive test counts for nowcasting under reporting lag
R Jersakova, J Lomax, J Hetherington, B Lehmann, G Nicholson, M Briers, ...
Journal of the Royal Statistical Society Series C: Applied Statistics 71 (4 …, 2022
72022
A large-scale and PCR-referenced vocal audio dataset for COVID-19
J Budd, K Baker, E Karoune, H Coppock, S Patel, R Payne, ...
Scientific data 11 (1), 700, 2024
62024
Assessing the Performance of Machine Learning Methods Trained on Public Health Observational Data: A Case Study From COVID‐19
D Pigoli, K Baker, J Budd, L Butler, H Coppock, S Egglestone, SG Gilmour, ...
Statistics in Medicine 43 (25), 4861-4871, 2024
3*2024
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