S. Richardson

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

Balancing the Robustness and Predictive Performance of Biomarkers

Paul D. W. Kirk, A. Lewin, M. Stumpf, 2013, J. Comput. Biol..

A Principled Experimental Design Approach to Big Data Analysis

Elizabeth G. Ryan, S. Richardson, K. Mengersen, 2017 .

Big data and design of experiments

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

Statistical Applications in Genetics and Molecular Biology Application of the Lasso to Expression Quantitative Trait Loci Mapping

S. Richardson, A. Brown, J. Whittaker, 2011 .

A comparison of Bayesian spatial models for disease mapping

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

Interpreting Posterior Relative Risk Estimates in Disease-Mapping Studies

S. Richardson, N. Best, P. Elliott, 2004, Environmental health perspectives.

Markov Chain Monte Carlo in Practice

Sylvia Richardson, David Spiegelhalter, Walter R. Gilks, 1997 .

Markov chain concepts related to sampling algorithms

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

Structural randomised selection

S. Hill, Fan Wang, S. Richardson, 2022, 2204.00750.

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

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

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.

Stochastic search variable selection

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

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.

On randomized sketching algorithms and the Tracy–Widom law

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

Statistical properties of sketching algorithms

William J. Astle, Daniel Ahfock, Sylvia Richardson, 2017, Biometrika.

Inference and monitoring convergence

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

A gain-of-function variant in DIAPH1 causes dominant macrothrombocytopenia and hearing loss.

William J. Astle, Sylvia Richardson, Kathleen Stirrups, 2016, Blood.

A dominant gain-of-function mutation in universal tyrosine kinase SRC causes thrombocytopenia, myelofibrosis, bleeding, and bone pathologies

Sylvia Richardson, Kathleen Stirrups, Wendy N. Erber, 2016, Science Translational Medicine.

Variable selection and Bayesian model averaging in case‐control studies

S. Richardson, A. Raftery, Valérie Viallefont, 2001, Statistics in medicine.

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

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

Hypothesis testing and model selection

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

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

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

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

Sylvia Richardson, Augusto Rendon, Sjoert B. G. Jansen, 2015, Genome Medicine.

Modelling Heterogeneity With and Without the Dirichlet Process

P. Green, S. Richardson, S. Richardson, 2001 .

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

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

MCMC for nonlinear hierarchical models

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

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

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

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

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

Introducing Markov chain Monte Carlo

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

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data

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

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.

Bayesian model choice for detecting unusual temporal patterns in small area data

A. Hansell, N. Best, Guangquan Li, 2010 .

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.

Adjusting for selection bias in retrospective, case-control studies.

S. Richardson, N. Best, S. Geneletti, 2008, Biostatistics.

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

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

Glycomics investigation into insulin action.

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

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.

Hidden Markov Models and Disease Mapping

P. Green, S. Richardson, S. Richardson, 2002 .

Bayesian mapping of disease

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

A Bayesian analysis of the impact of air pollution episodes on cardio-respiratory hospital admissions in the Greater London area

A. Hansell, J. Gulliver, M. Blangiardo, 2011, Statistical methods in medical research.

‘Introduction’

S. Richardson, P. Diggle, S. Richardson, 2022, Archives of Physical Medicine and Rehabilitation.

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

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

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

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

Interoperability of statistical models in pandemic preparedness: principles and reality.

Yee Whye Teh, Peter J. Diggle, Tor Erlend Fjelde, 2021, 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, Methodology : European journal of research methods for the behavioral & social sciences.

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

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

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

L. Coin, S. Richardson, A. Lewin, 2011, Genome Biology.

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.

Early immune pathology and persistent dysregulation characterise severe COVID-19

Kenneth G. C. Smith, S. Richardson, B. Göttgens, 2020, medRxiv.

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.

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 .

A three-state Markov model of Plasmodium falciparum parasitemia.

S. Richardson, J. Maccario, A. Richard, 1993, Mathematical biosciences.

Sylvia Richardson, Ernest Turro, Daniel Greene, 2016, American journal of human genetics.

Model-based geostatistics. Discussion. Authors' reply

T. C. Haas, M. Kenward, S. Nadarajah, 1998 .

Differential co-expression analysis of obesity-associated networks in human subcutaneous adipose tissue

S. Richardson, S. Richardson, L. Bottolo, 2011, International Journal of Obesity.

The RNA landscape of the human placenta in health and disease

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

Multidimensional analysis of the effect of occupational exposure to organic solvents on lung cancer risk: the ICARE study

S. Richardson, Marie Sanchez, D. Luce, 2016, Occupational and Environmental Medicine.

Stochastic Algorithms for Markov Models Estimation with Intermittent Missing Data

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

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..

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

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

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

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

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

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

Some Themes in High-Dimensional Statistics

Marina Vannucci, Peter Bühlmann, Sylvia Richardson, 2016 .

Statistics in times of increasing uncertainty

S. Richardson, S. Richardson, 2022, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Fast Bayesian inference in large Gaussian graphical models

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

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.

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.

Correcting the Mean-Variance Dependency for Differential Variability Testing Using Single-Cell RNA Sequencing Data

S. Richardson, J. Marioni, Nils Eling, 2018, Cell systems.

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

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

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

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

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.

Abstracts Bayesian Inference in Family Epidemic: a Case Study on Hib

S. Richardson, K. Auranen, S. Richardson, 2007 .

Association of environmental insecticide exposure and fetal growth with a Bayesian model including multiple exposure sources: the PELAGIE mother-child cohort.

C. Chevrier, S. Cordier, M. Blangiardo, 2012, American journal of epidemiology.

S. Richardson, C. Jackson, And Nicky Best, 2007 .

Improving ecological inference using individual‐level data

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

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

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

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 .

Statistical Methods in Integrative Genomics.

George C Tseng, Sylvia Richardson, Wei Sun, 2016, Annual review of statistics and its application.

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.

A computationally efficient Bayesian seemingly unrelated regressions model for high-dimensional quantitative trait loci discovery

S. Richardson, L. Bottolo, A. Lewin, 2021, Journal of the Royal Statistical Society. Series C, Applied statistics.

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..

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

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

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..

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.

Monte Carlo algorithms for model assessment via conflicting summaries

Sylvia Richardson, Pierre Pudlo, Christian Robert, 2011, 1106.5919.

Sure independence screening for ultrahigh dimensional feature space Discussion

Jeffrey S. Morris, Gareth M. James, Hao Helen Zhang, 2008 .

Evolutionary Stochastic Search for Bayesian model exploration

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

Mixtures of distributions: inference and estimation

S. Richardson, D. Spiegelhalter, W. Gilks, 1995 .

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.

Bayesian hierarchical models in ecological studies

Sylvia Richardson, Chris Jackson, Nicky Best, 2005 .

Exploiting general independence criteria for network inference

S. Richardson, L. Wernisch, P. Verbyla, 2017, bioRxiv.

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 .

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..

Bayesian Detection of Expression Quantitative Trait Loci Hot Spots

Sylvia Richardson, Enrico Petretto, Leonardo Bottolo, 2011, Genetics.

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.

Adjustment for Missing Confounders Using External Validation Data and Propensity Scores

Sylvia Richardson, Nicky Best, Lawrence C. McCandless, 2012 .

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

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

Timing of human immunodeficiency virus type 1 (HIV-1) transmission from mother to child: bayesian estimation using a mixture.

C. Rouzioux, D. Costagliola, S. Blanche, 1999, Statistics in medicine.

Discussion on the paper by Spiegelhalter, Best, Carlin and van der Linde

Aki Vehtari, Christian P. Robert, Matilde Trevisani, 2002 .

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.

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

M. Blangiardo, S. Richardson, 2008, BMC Bioinformatics.

The impact of hypoxia on B cells in COVID-19

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

A powerful method for detecting differentially expressed genes from GeneChip arrays that does not require replicates

Anne-Mette K. Hein, Sylvia Richardson, S. Richardson, 2006, BMC Bioinformatics.

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

Robert Haining, Guangquan Li, Sylvia Richardson, 2014 .

Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease

Kenneth G. C. Smith, Mary D. Fortune, S. Richardson, 2016, PLoS genetics.

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.

Bayesian Methods for Gene Expression Analysis

S. Richardson, L. Bottolo, A. Lewin, 2019, Handbook of Statistical Genomics.

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

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

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

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

Scalable multiple network inference with the joint graphical horseshoe

S. Richardson, B. Fairfax, H. Ruffieux, 2022, The Annals of Applied Statistics.

Identifying Cell Types from Spatially Referenced Single-Cell Expression Datasets

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

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.

Safe preselection in lasso-type problems by cross-validation freezing

Sylvia Richardson, Arnoldo Frigessi, Ingrid K. Glad, 2012, 1210.0380.

Statistical Applications in Genetics and Molecular Biology Fully Bayesian Mixture Model for Differential Gene Expression : Simulations and Model Checks

Sylvia Richardson, Natalia Bochkina, Alex Lewin, 2011 .

Full conditional distributions

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

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.