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Mathematics

D-Index
70
Citations
37622
World Ranking
266
National Ranking
15

Overview

Sylvia Richardson is affiliated with the University of Cambridge in the United Kingdom. Their research primarily spans the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with significant focus on several interconnected subfields including Molecular Biology, Artificial Intelligence, Epidemiology, Statistics and Probability, and Infectious Diseases.

Their areas of research cover a broad range of topics such as gene expression and cancer classification, COVID-19 epidemiological studies, bioinformatics and genomic networks, chronic disease management strategies, Bayesian methods and mixture models, health disparities and outcomes, and SARS-CoV-2 and COVID-19 research.

Notable recent papers authored or co-authored by Sylvia Richardson include:

  • Longitudinal analysis reveals that delayed bystander CD8+ T cell activation and early immune pathology distinguish severe COVID-19 from mild disease, 2021, Immunity
  • The RNA landscape of the human placenta in health and disease, 2021, Nature Communications
  • A genome-wide association study of outcome from traumatic brain injury, 2022, EBioMedicine
  • Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study, 2022, The Lancet Regional Health - Europe
  • Whole-genome sequencing of patients with rare diseases in a national health system, 2021, Yearbook of pediatric endocrinology

Collaborative work features frequent co-authors such as Hélène Ruffieux, Peter J. Diggle, Chris Holmes, Radka Jersakova, and George Nicholson. These partnerships illustrate active engagement with specialists in related fields.

Sylvia Richardson has published extensively in venues including arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), Journal of the Royal Statistical Society Series A (Statistics in Society), and Harvard Data Science Review.

Best Publications

  • Markov Chain Monte Carlo in Practice

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion)

    Sylvia. Richardson;Peter J. Green

  • On Bayesian Analysis of Mixtures with an Unknown Number of Components

    Sylvia Richardson;Peter J. Green

  • Modifying the t test for assessing the correlation between two spatial processes

    Pierre Dutilleul;Peter Clifford;Sylvia Richardson;Denis Hemon

  • Introducing Markov chain Monte Carlo

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Assessing the significance of the correlation between two spatial processes.

    Peter Clifford;Sylvia Richardson;Denis Hemon

  • A comparison of Bayesian spatial models for disease mapping.

    Nicky Best;Sylvia Richardson;Andrew Thomson

  • Interpreting Posterior Relative Risk Estimates in Disease-Mapping Studies

    Sylvia Richardson;Andrew Thomson;Nicky Best;Paul Elliott

  • Inference and monitoring convergence

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Hypothesis testing and model selection

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Hidden Markov Models and Disease Mapping

    Peter J Green;Sylvia Richardson

  • Markov chain concepts related to sampling algorithms

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Model-based geostatistics. Discussion. Authors' reply

    P. J. Diggle;J. A. Tawn;R. A. Moyeed;R. Webster

  • Modelling heterogeneity with and without the Dirichlet process

    Peter J. Green;Sylvia Richardson

  • BASiCS: Bayesian Analysis of Single-Cell Sequencing Data

    Catalina A. Vallejos;John C. Marioni;Sylvia Richardson

  • Aircraft noise and cardiovascular disease near Heathrow airport in London: small area study

    Anna L Hansell;Anna L Hansell;Marta Blangiardo;Lea Fortunato;Sarah Floud

  • Variable selection and Bayesian model averaging in case-control studies.

    Valerie Viallefont;Adrian E. Raftery;Sylvia Richardson

  • Haplotype and isoform specific expression estimation using multi-mapping RNA-seq reads

    Ernest Turro;Shu-Yi Su;Ângela Gonçalves;Lachlan J M Coin

  • Bayesian mapping of disease

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Evolutionary Stochastic Search for Bayesian model exploration

    Leonardo Bottolo;Sylvia Richardson

  • Discussion on the paper by Handcock, Raftery and Tantrum

    Tom A. B. Snijders;Tony Robinson;Anthony C. Atkinson;Marco Riani

Frequent Co-Authors

Nicky Best
Nicky Best GlaxoSmithKline (United Kingdom)
Walter R. Gilks
Walter R. Gilks University of Leeds
Paul Elliott
Paul Elliott Imperial College London
Willem H. Ouwehand
Willem H. Ouwehand University of Cambridge
Michael Laffan
Michael Laffan Imperial College London
Annlia Paganini-Hill
Annlia Paganini-Hill University of California, Irvine
Janet L. Stanford
Janet L. Stanford Fred Hutchinson Cancer Research Center
Stephen W. Duffy
Stephen W. Duffy Queen Mary University of London
Chris Bain
Chris Bain Monash University
Silvia Franceschi
Silvia Franceschi Centro di Riferimento Oncologico

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