| Markov chain Monte Carlo in practice WR Gilks, S Richardson, D Spiegelhalter CRC press, 1995 | 12801 | 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 | 3559* | 2002 |
| Breast cancer and hormone replacement therapy: collaborative reanalysis of data from 51 epidemiological studies of 52 705 women with breast cancer and 108 411 women without … Collaborative Group on Hormonal Factors in Breast Cancer The Lancet 350 (9084), 1047-1059, 1997 | 3203 | 1997 |
| 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 | 3015 | 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 | 1190 | 2012 |
| Introducing markov chain monte WR Gilks, S Richardson, DJ Spiegelhalter Markov chain Monte Carlo in practice 1, 1995 | 1059 | 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 | 1002 | 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 | 662 | 2005 |
| Hypothesis testing and model AE Raftery, WR Gilks, S Richardson, D Spiegelhalter Markov chain Monte Carlo in practice 1, 165-87, 1995 | 651 | 1995 |
| Assessing the significance of the correlation between two spatial processes P Clifford, S Richardson, D Hemon Biometrics, 123-134, 1989 | 642 | 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 | 624 | 2004 |
| Hidden Markov models and disease mapping PJ Green, S Richardson Journal of the American statistical association 97 (460), 1055-1070, 2002 | 453 | 2002 |
| 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 | 452 | 2020 |
| 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 | 443 | 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 | 421 | 2001 |
| 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 | 406 | 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 | 367 | 2013 |
| Modelling heterogeneity with and without the Dirichlet process PJ Green, S Richardson Scandinavian journal of statistics 28 (2), 355-375, 2001 | 360 | 2001 |
| BASiCS: Bayesian analysis of single-cell sequencing data CA Vallejos, JC Marioni, S Richardson PLoS computational biology 11 (6), e1004333, 2015 | 333 | 2015 |
| 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 | 329 | 2014 |
