Sylvia Richardson
Sylvia Richardson
Director of MRC Biostatistics Unit and Professor of Biostatistics, University of Cambridge
Verified email at - Homepage
Cited by
Cited by
Markov chain Monte Carlo in practice
WR Gilks, S Richardson, D Spiegelhalter
CRC press, 1995
Breast cancer and breastfeeding: collaborative reanalysis of individual data from 47 epidemiological studies in 30 countries, including 50 302 women with breast cancer and 96 …
Collaborative Group on Hormonal Factors in Breast Cancer
The lancet 360 (9328), 187-195, 2002
On Bayesian analysis of mixtures with an unknown number of components (with discussion)
S Richardson, PJ Green
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1997
Menarche, menopause, and breast cancer risk: individual participant meta-analysis, including 118 964 women with breast cancer from 117 epidemiological studies
Collaborative Group on Hormonal Factors in Breast Cancer
The lancet oncology 13 (11), 1141-1151, 2012
Introducing markov chain monte
WR Gilks, S Richardson, DJ Spiegelhalter
Markov chain Monte Carlo in practice 1, 1995
Modifying the t test for assessing the correlation between two spatial processes
P Dutilleul, P Clifford, S Richardson, D Hemon
Biometrics, 305-314, 1993
A comparison of Bayesian spatial models for disease mapping
N Best, S Richardson, A Thomson
Statistical methods in medical research 14 (1), 35-59, 2005
Hypothesis testing and model
AE Raftery, WR Gilks, S Richardson, D Spiegelhalter
Markov chain Monte Carlo in practice 10, 163-185, 1995
Assessing the significance of the correlation between two spatial processes
P Clifford, S Richardson, D Hemon
Biometrics, 123-134, 1989
Interpreting posterior relative risk estimates in disease-mapping studies
S Richardson, A Thomson, N Best, P Elliott
Environmental health perspectives 112 (9), 1016-1025, 2004
Hidden Markov models and disease mapping
PJ Green, S Richardson
Journal of the American statistical association 97 (460), 1055-1070, 2002
Comprehensive rare variant analysis via whole-genome sequencing to determine the molecular pathology of inherited retinal disease
KJ Carss, G Arno, M Erwood, J Stephens, A Sanchis-Juan, S Hull, K Megy, ...
The American Journal of Human Genetics 100 (1), 75-90, 2017
Risk of adverse birth outcomes in populations living near landfill sites
P Elliott, D Briggs, S Morris, C de Hoogh, C Hurt, TK Jensen, I Maitland, ...
Bmj 323 (7309), 363-368, 2001
Whole-genome sequencing of patients with rare diseases in a national health system
E Turro, WJ Astle, K Megy, S Gräf, D Greene, O Shamardina, HL Allen, ...
Nature 583 (7814), 96-102, 2020
Case-mix, care pathways, and outcomes in patients with traumatic brain injury in CENTER-TBI: a European prospective, multicentre, longitudinal, cohort study
EW Steyerberg, E Wiegers, C Sewalt, A Buki, G Citerio, V De Keyser, ...
The Lancet Neurology 18 (10), 923-934, 2019
Aircraft noise and cardiovascular disease near Heathrow airport in London: small area study
AL Hansell, M Blangiardo, L Fortunato, S Floud, K De Hoogh, D Fecht, ...
Bmj 347, 2013
Modelling heterogeneity with and without the Dirichlet process
PJ Green, S Richardson
Scandinavian journal of statistics 28 (2), 355-375, 2001
Transcriptional diversity during lineage commitment of human blood progenitors
L Chen, M Kostadima, JHA Martens, G Canu, SP Garcia, E Turro, ...
Science 345 (6204), 1251033, 2014
Variable selection and Bayesian model averaging in case‐control studies
V Viallefont, AE Raftery, S Richardson
Statistics in medicine 20 (21), 3215-3230, 2001
BASiCS: Bayesian analysis of single-cell sequencing data
CA Vallejos, JC Marioni, S Richardson
PLoS computational biology 11 (6), e1004333, 2015
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