S. Richardson

Kerrie Mengersen, Sylvia Richardson, Christopher C Drovandi, 2017, Statistical science : a review journal of the Institute of Mathematical Statistics.

Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables

Sylvia Richardson, Paul D W Kirk, Magdalena E Strauss, 2021, Journal of the Royal Statistical Society Series C: Applied Statistics.

Kernel learning approaches for summarising and combining posterior similarity matrices

Paul D. W. Kirk, Sylvia Richardson, Alessandra Cabassi, 2020, 2009.12852.

Discussion on the meeting on ‘Statistical modelling and analysis of genetic data’

Terence P. Speed, Peter Donnelly, Dirk Husmeier, 2002 .

Bayesian profile regression with an application to the National Survey of Children's Health.

Sylvia Richardson, Michail Papathomas, John Molitor, 2010, Biostatistics.

Markov chain concepts related to sampling algorithms

Sylvia Richardson, David J. Spiegelhalter, Walter R. Gilks, 1995 .

A comparison of Bayesian spatial models for disease mapping

Sylvia Richardson, Nicky Best, Andrew Thomson, 2005, Statistical methods in medical research.

A Global-Local Approach for Detecting Hotspots in Multiple-Response Regression.

Anthony C. Davison, Sylvia Richardson, Leonardo Bottolo, 2018, The annals of applied statistics.

The RNA landscape of the human placenta in health and disease

Paul D. W. Kirk, S. Richardson, D. Charnock-Jones, 2021, Nature communications.

A Bayesian calibration model for combining different pre-processing methods in Affymetrix chips

Sylvia Richardson, Marta Blangiardo, S. Richardson, 2008, BMC Bioinformatics.

Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: a space-time study

S. Richardson, P. Diggle, A. Mallon, 2021, medRxiv.

Using Likelihood-Free Inference to Compare Evolutionary Dynamics of the Protein Networks of H. pylori and P. falciparum

Carsten Wiuf, Michael P. H. Stumpf, Sylvia Richardson, 2007, PLoS Comput. Biol..

Use of Space–Time Models to Investigate the Stability of Patterns of Disease

Sylvia Richardson, Nicky Best, J. J. Abellán, 2008, Environmental health perspectives.

Bayesian spatio-temporal analysis of joint patterns of male and female lung cancer risks in Yorkshire (UK)

Sylvia Richardson, Nicky Best, J. J. Abellán, 2006, Statistical methods in medical research.

Bayesian hierarchical models in ecological studies of health–environment effects

Sylvia Richardson, Nicky Best, S. Richardson, 2003 .

Uncovering selection bias in case–control studies using Bayesian post‐stratification

S Richardson, S Geneletti, N Best, 2013, Statistics in medicine.

Simplified Bayesian Sensitivity Analysis for Mismeasured and Unobserved Confounders

S Richardson, P Gustafson, A R Levy, 2010, Biometrics.

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

S. Richardson, P. Diggle, A. Mallon, 2021, Nature microbiology.

Stochastic Algorithms for Markov Models Estimation with Intermittent Missing Data

S. Richardson, J. Hesran, Isabelle Deltour, 1999, Biometrics.

A Bayesian approach to measurement error problems in epidemiology using conditional independence models.

S Richardson, W R Gilks, S. Richardson, 1993, American journal of epidemiology.

Some comments on misspecification of priors in Bayesian modelling of measurement error problems.

L Leblond, S Richardson, S. Richardson, 1997, Statistics in medicine.

Using ecological propensity score to adjust for missing confounders in small area studies

Yingbo Wang, Sylvia Richardson, Marta Blangiardo, 2016, Biostatistics.

Bayesian Statistics Small Area Estimation

Guangquan Li, Philip Clarke, Virgilio Gómez-Rubio, 2010 .

A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures

William J. Astle, Sylvia Richardson, David Stephens, 2011, 1105.2204.

High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking

Sylvia Richardson, Fan Wang, Sach Mukherjee, 2018, Statistics and Computing.

Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration

Sylvia Richardson, Ingrid K. Glad, Arnoldo Frigessi, 2016 .

De Novo Truncating Mutations in WASF1 Cause Intellectual Disability with Seizures

Henning Gall, Fengyuan Hu, Kevin Rue-Albrecht, 2018, American journal of human genetics.

Whole-genome sequencing of patients with rare diseases in a national health system

Keith W. Muir, William J. Astle, Mark I. McCarthy, 2020, Nature.

Modelling of an Epidemiological Time Series by a Threshold Autoregressive Model

Sylvia Richardson, S. Richardson, L. Watier, 1995 .

New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach

Matthias Heinig, Sylvia Richardson, Enrico Petretto, 2010, PLoS Comput. Biol..

Transcriptional diversity during lineage commitment of human blood progenitors

Randy J. Read, William J. Astle, Paul Flicek, 2014, Science.

JAM: A Scalable Bayesian Framework for Joint Analysis of Marginal SNP Effects

Sylvia Richardson, Paul J. Newcombe, David V. Conti, 2016, Genetic epidemiology.

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data

Catalina A. Vallejos, John C. Marioni, Sylvia Richardson, 2015, PLoS Comput. Biol..

Model criticism based on likelihood-free inference, with an application to protein network evolution

Christophe Andrieu, Carsten Wiuf, Sylvia Richardson, 2009, Proceedings of the National Academy of Sciences.

Platelet function is modified by common sequence variation in megakaryocyte super enhancers

William J. Astle, Jonathan M. Cairns, Benjamin B. Sun, 2017, Nature Communications.

sdef: an R package to synthesize lists of significant features in related experiments

Sylvia Richardson, Alberto Cassese, Marta Blangiardo, 2010, BMC Bioinformatics.

Whole-genome sequencing of a sporadic primary immunodeficiency cohort

William J. Astle, Sri V. V. Deevi, Kenneth G. C. Smith, 2020, Nature.

Statistical tools for synthesizing lists of differentially expressed features in related experiments

Sylvia Richardson, Marta Blangiardo, S. Richardson, 2007, Genome Biology.

ontologyX: a suite of R packages for working with ontological data

Ernest Turro, Sylvia Richardson, Daniel Greene, 2016, Bioinform..

EPISPOT: An epigenome-driven approach for detecting and interpreting hotspots in molecular QTL studies

Sylvia Richardson, Chris Wallace, Leonardo Bottolo, 2020, bioRxiv.

Dynamics of the Risk of Smoking-Induced Lung Cancer: A Compartmental Hidden Markov Model for Longitudinal Analysis

Paolo Vineis, Sylvia Richardson, Marc Chadeau-Hyam, 2014, Epidemiology.

WWOX tumour suppressor gene polymorphisms and ovarian cancer pathology and prognosis.

S. Richardson, Robert Brown, T. Ganesan, 2010, European journal of cancer.

Beyond comparisons of means: understanding changes in gene expression at the single-cell level

S. Richardson, J. Marioni, C. Vallejos, 2016, bioRxiv.

Bayesian analysis of case-control studies with categorical covariates

Sylvia Richardson, Shaun R. Seaman, S. Richardson, 2001 .

The impact of hypoxia on B cells in COVID-19

Kenneth G. C. Smith, S. Richardson, B. Göttgens, 2021, eBioMedicine.

Dissection of a Complex Disease Susceptibility Region Using a Bayesian Stochastic Search Approach to Fine Mapping

Sylvia Richardson, Nikolas Pontikos, Stephen J Sawcer, 2015, bioRxiv.

Evolutionary Stochastic Search for Bayesian model exploration

Sylvia Richardson, Leonardo Bottolo, S. Richardson, 2010, 1002.2706.

Bayesian Hierarchical Model for Identifying Changes in Gene Expression from Microarray Experiments

Sylvia Richardson, Philippe Broët, François Radvanyi, 2002, J. Comput. Biol..

Longitudinal analysis reveals that delayed bystander CD8+ T cell activation and early immune pathology distinguish severe COVID-19 from mild disease

Kenneth G. C. Smith, S. Richardson, B. Göttgens, 2021, Immunity.

Effects of immunomodulatory drugs on depressive symptoms: A mega-analysis of randomized, placebo-controlled clinical trials in inflammatory disorders

R. B. Henderson, S. Richardson, E. Bullmore, 2019, Molecular Psychiatry.

Reply to Robert et al.: Model criticism informs model choice and model comparison

Christophe Andrieu, Carsten Wiuf, Sylvia Richardson, 2009, Proceedings of the National Academy of Sciences.

A Fast Association Test for Identifying Pathogenic Variants Involved in Rare Diseases

Sylvia Richardson, Ernest Turro, Daniel Greene, 2017, American journal of human genetics.

Whole-genome sequencing of patients with rare diseases in a national health system

William J. Astle, Sri V. V. Deevi, Kenneth G. C. Smith, 2020, Nature.

Arboreal arthropod biodiversity in woodlands: Effect of collection procedures and geographic distance on estimates of diversity found on two species of Melaleuca

S. Richardson, S. Burgin, B. Richardson, 1999 .

Replicable and Coupled Changes in Innate and Adaptive Immune Gene Expression in Two Case-Control Studies of Blood Microarrays in Major Depressive Disorder

S. Richardson, V. Perry, E. Bullmore, 2018, Biological Psychiatry.

Spatio-temporal patterns of bladder cancer incidence in Utah (1973-2004) and their association with the presence of toxic release inventory sites

Sylvia Richardson, Linda Beale, J. J. Abellán, 2011, International journal of health geographics.

Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations

Sylvia Richardson, Silvia Liverani, David I. Hastie, 2013, Statistics and Computing.

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Amir K. Foroushani, Yuanfang Guan, Jaewoo Kang, 2019, Nature Communications.

BGX: a fully Bayesian integrated approach to the analysis of Affymetrix GeneChip data.

Anne-Mette K. Hein, Sylvia Richardson, Peter J Green, 2005, Biostatistics.

MT-HESS: an efficient Bayesian approach for simultaneous association detection in OMICS datasets, with application to eQTL mapping in multiple tissues

Aida Moreno-Moral, Enrico Petretto, Alex Lewin, 2015, Bioinform..

Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival

P J Newcombe, H Raza Ali, F M Blows, 2017, Statistical methods in medical research.

Hierarchical priors for bias parameters in Bayesian sensitivity analysis for unmeasured confounding

Sylvia Richardson, Lawrence C McCandless, Paul Gustafson, 2012, Statistics in medicine.

Model Selection for Generalized Linear Models via GLIB, with Application to Epidemiology

Adrian E. Raftery, Sylvia Richardson, S. Richardson, 1993 .

Contribution Association of Environmental Insecticide Exposure and Fetal Growth With a Bayesian Model Including Multiple Exposure Sources The PELAGIE Mother-Child Cohort

S. Richardson, C. Chevrier, S. Cordier, 2012 .

Modeling Markers of Disease Progression by a Hidden Markov Process: Application to Characterizing CD4 Cell Decline

S Richardson, I M Longini, C Guihenneuc-Jouyaux, 2000, Biometrics.

A two-step method for variable selection in the analysis of a case-cohort study

P J Newcombe, S Richardson, S Seaman, 2017, International journal of epidemiology.

Studying place effects on health by synthesising individual and area-level outcomes.

S. Richardson, N. Best, C. Jackson, 2008, Social science & medicine.

On the utility of the Dirichlet process for linear model determination: application to graphical log-linear model determination

S. Richardson, M. Papathomas, Michail Papathomas, 2014 .

Glycomics investigation into insulin action.

S. Richardson, D. Gauguier, K. Siddle, 2006, Biochimica et biophysica acta.

Phenotypic Characterization of EIF2AK4 Mutation Carriers in a Large Cohort of Patients Diagnosed Clinically With Pulmonary Arterial Hypertension

Fengyuan Hu, Kevin Rue-Albrecht, Patrick Deegan, 2017, Circulation.

Plasma proteome analysis in HTLV-1-associated myelopathy/tropical spastic paraparesis

Paul D. W. Kirk, S. Richardson, A. Lewin, 2011, Retrovirology.

Bayesian shared spatial‐component models to combine and borrow strength across sparse disease surveillance sources

Sylvia Richardson, J. J. Abellán, Sophie Ancelet, 2012, Biometrical journal. Biometrische Zeitschrift.

Space–time variability in burglary risk: A Bayesian spatio-temporal modelling approach

Robert Haining, Guangquan Li, Sylvia Richardson, 2014 .

Using Bayesian graphical models to model biases in observational studies and to combine multiple sources of data: application to low birth weight and water disinfection by‐products

Sylvia Richardson, Nicky Best, Nuoo-Ting Molitor, 2009 .

Using Bayesian graphical models to model biases in observational studies and to combine multiple data sources: Application to low birth-weight and water disinfection by-products

Sylvia Richardson, S. Richardson, S. Richardson, 2008 .

Distributed Computation for Marginal Likelihood based Model Choice

Daniel Ahfock, Alexander Buchholz, Sylvia Richardson, 2019, Bayesian Analysis.

R2GUESS: A Graphics Processing Unit-Based R Package for Bayesian Variable Selection Regression of Multivariate Responses.

Marc Chadeau-Hyam, Gianluca Campanella, Leonardo Bottolo, 2016, Journal of statistical software.

A patient-centric modeling framework captures recovery from SARS-CoV-2 infection

Kenneth G. C. Smith, S. Richardson, P. Lyons, 2023, Nature Immunology.

A Bayesian hierarchical analysis to compare classical and atypical scrapie surveillance data; Wales 2002-2006.

S Richardson, V J Del Rio Vilas, S Ancelet, 2011, Preventive veterinary medicine.

Analysis of disease risks using ancillary risk factors, with application to job-exposure matrices.

S Richardson, W R Gilks, S. Richardson, 1992, Statistics in medicine.

Examining the Association between Deprivation Profiles and Air Pollution in Greater London using Bayesian Dirichlet Process Mixture Models

Nuoo-Ting Molitor, John Molitor, Sylvia Richardson, 2010, COMPSTAT.

Progressive pulmonary sarcoidosis is associated with over-expression of TYK2 and p21Waf1/Cip1.

S. Richardson, R. Fagard, M. Raphael, 2006, Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG.

Association of Sirtuin 1 (SIRT1) Gene SNPs and Transcript Expression Levels With Severe Obesity

S. Richardson, B. Balkau, P. Froguel, 2012, Obesity.

Identifying Cell Types from Spatially Referenced Single-Cell Expression Datasets

John C. Marioni, Sylvia Richardson, Raju Tomer, 2014, PLoS Comput. Biol..

Stochastic search variable selection

Sylvia Richardson, David J. Spiegelhalter, Walter R. Gilks, 1995 .

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

S. Richardson, P. Diggle, A. Mallon, 2021, Nature Microbiology.

Protocol for the development of the Wales Multimorbidity e-Cohort (WMC): data sources and methods to construct a population-based research platform to investigate multimorbidity

J. Gallacher, S. Richardson, A. Brookes, 2021, BMJ Open.

Modelling the annual risk of tuberculosis infection.

S. Richardson, J. Maccario, A. Garcia, 1997, International journal of epidemiology.

The Future of Data Science

Sylvia Richardson, Sach Mukherjee, S. Richardson, 2020, 2.3.

Fast Bayesian inference in large Gaussian graphical models

Sylvia Richardson, Gwenaël G R Leday, S. Richardson, 2018, Biometrics.

BayesSUR: An R Package for High-Dimensional Multivariate Bayesian Variable and Covariance Selection in Linear Regression

Alex Lewin, Sylvia Richardson, Manuela Zucknick, 2021, J. Stat. Softw..

Drug sensitivity prediction with normal inverse Gaussian shrinkage informed by external data

Sylvia Richardson, Gwenaël G R Leday, Mark A van de Wiel, 2020, Biometrical journal. Biometrische Zeitschrift.

Strategy for modelling non-random missing data mechanisms in observational studies using Bayesian methods

S. Richardson, N. Best, I. Plewis, 2010 .

A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancer

Sylvia Richardson, Silvia Liverani, Lamiae Azizi, 2013, BMC Medical Research Methodology.

PReMiuM: An R Package for Profile Regression Mixture Models Using Dirichlet Processes.

Sylvia Richardson, Michail Papathomas, Silvia Liverani, 2013, Journal of statistical software.

Sparse variable and covariance selection for high-dimensional seemingly unrelated Bayesian regression

S. Richardson, L. Bottolo, A. Lewin, 2018, bioRxiv.

Exploring Data From Genetic Association Studies Using Bayesian Variable Selection and the Dirichlet Process: Application to Searching for Gene × Gene Patterns

Sylvia Richardson, Michail Papathomas, John Molitor, 2012, Genetic epidemiology.

A hierarchical model for space–time surveillance data on meningococcal disease incidence

Sylvia Richardson, Leonhard Knorr-Held, S. Richardson, 2003 .

Bayesian graphical models for regression on multiple data sets with different variables

S. Richardson, C. H. Jackson, N. G. Best, 2008, Biostatistics.

BGX: a Bioconductor package for the Bayesian integrated analysis of Affymetrix GeneChips

Anne-Mette K. Hein, Ernest Turro, Sylvia Richardson, 2007, BMC Bioinformatics.

Big data and design of experiments

Christopher Holmes, Christopher C. Drovandi, James McGree, 2016 .

Scalable Multiple Network Inference with the Joint Graphical Horseshoe

S. Richardson, B. Fairfax, H. Ruffieux, 2022, 2206.11820.

Problèmes méthodologiques dans les études écologiques santé environnementMethodological problems in ecological studies of health environment effects.

S. Richardson, 2000 .

Balancing the Robustness and Predictive Performance of Biomarkers

PAUL KIRK, AVIVA WITKOVER, CHARLES R. M. BANGHAM, 2013, J. Comput. Biol..

MMBGX: a method for estimating expression at the isoform level and detecting differential splicing using whole-transcript Affymetrix arrays

Alex Lewin, Sylvia Richardson, Margaret J. Dallman, 2009, Nucleic acids research.

Two-pronged Strategy for Using DIC to Compare Selection Models with Non-Ignorable Missing Responses

Sylvia Richardson, Alexina J. Mason, Nicky Best, 2012 .

Exploring dependence between categorical variables: Benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms

Sylvia Richardson, Michail Papathomas, S. Richardson, 2014, Journal of statistical planning and inference.

Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014

Marina Vannucci, Sylvia Richardson, Arnoldo Frigessi, 2016 .

Bayesian regression discontinuity designs: incorporating clinical knowledge in the causal analysis of primary care data

Gianluca Baio, Sara Geneletti, Sylvia Richardson, 2014, Statistics in medicine.

sdef: an R package to synthesize lists of significant features in related experiments

S. Richardson, Alberto Cassese, M. Blangiardo, 2010, BMC Bioinformatics.

Exploring the big data paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS) (preprint)

S. Richardson, W. Dempsey, Peisong Han, 2023, 2306.14940.

Bayesian analysis of the multivariate geographical distribution of the socio‐economic environment in England

Sylvia Richardson, Nicky Best, David Briggs, 2007 .

Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations

S. Richardson, D. Hastie, S. Liverani, 2013, Stat. Comput..

Fully Bayesian Mixture Model for Differential Gene Expression: Simulations and Model Checks

Sylvia Richardson, Natalia Bochkina, Alex Lewin, 2007, Statistical applications in genetics and molecular biology.

Detection of gene copy number changes in CGH microarrays using a spatially correlated mixture model.

S. Richardson, P. Broët, 2006, Bioinformatics.

Comprehensive Rare Variant Analysis via Whole-Genome Sequencing to Determine the Molecular Pathology of Inherited Retinal Disease.

Dorothy A. Thompson, Sri V. V. Deevi, Eleanor F. Dewhurst, 2017, American journal of human genetics.

Statistical Applications in Genetics and Molecular Biology False Discovery Rate Estimation for Stability Selection : Application to Genome-Wide Association Studies

Sylvia Richardson, Marjo-Riitta Järvelin, Anna-Liisa Hartikainen, 2012 .

Human phenotype ontology annotation and cluster analysis to unravel genetic defects in 707 cases with unexplained bleeding and platelet disorders

Sjoert B. G. Jansen, S. Richardson, W. Ouwehand, 2015, Genome Medicine.

On randomized sketching algorithms and the Tracy–Widom law

William J. Astle, Daniel Ahfock, Sylvia Richardson, 2022, Statistics and Computing.

Telomerecat: A ploidy-agnostic method for estimating telomere length from whole genome sequencing data

Andy G Lynch, Sri V. V. Deevi, Eleanor F. Dewhurst, 2017, Scientific Reports.

Improving ecological inference using individual‐level data

Sylvia Richardson, Nicky Best, Christopher Jackson, 2006, Statistics in medicine.

Bayesian Methods for Microarray Data

Sylvia Richardson, S. Richardson, A. Lewin, 2008 .

A mixture model-based strategy for selecting sets of genes in multiclass response microarray experiments

Alex Lewin, Sylvia Richardson, Philippe Broët, 2004, Bioinform..

StabJGL: a stability approach to sparsity and similarity selection in multiple network reconstruction

S. Richardson, Camilla Lingjaerde, 2023, 2306.03212.

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

P. Green, S. Richardson, 1997 .

Eliciting expert opinion about missing data in longitudinal studies

Sylvia Richardson, Ian Plewis, S. Richardson, 2011 .

S. Richardson, Gordon C. S. Smith, Y. Cordeaux, 2015, Aging cell.

Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival

S. Richardson, C. Caldas, E. Provenzano, 2017, Statistical methods in medical research.

On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply

J. Besag, P. Green, S. Richardson, 1997 .

In simulated data and health records, latent class analysis was the optimum multimorbidity clustering algorithm

S. Richardson, S. Kiddle, T. Taverner, 2022, Journal of Clinical Epidemiology.

A Global-Local Approach for Detecting Hotspots in Multiple-Response Regression.

S. Richardson, A. Davison, L. Bottolo, 2018, The annals of applied statistics.

Telomerecat: A ploidy-agnostic method for estimating telomere length from whole genome sequencing data

Sri V. V. Deevi, Eleanor F. Dewhurst, Courtney E. French, 2017, Scientific Reports.

Studying place effects on health by synthesising individual and area-level outcomes.

S. Richardson, N. Best, C. Jackson, 2008, Social science & medicine.