| Multiple imputation using chained equations: issues and guidance for practice IR White, P Royston, AM Wood Statistics in medicine 30 (4), 377-399, 2011 | 8456 | 2011 |
| Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls JAC Sterne, IR White, JB Carlin, M Spratt, P Royston, MG Kenward, ... Bmj 338, 2009 | 6873 | 2009 |
| Analysis of serial measurements in medical research. JN Matthews, DG Altman, MJ Campbell, P Royston British medical journal 300 (6719), 230-235, 1990 | 3590 | 1990 |
| Multiple imputation of missing values P Royston The Stata Journal 4 (3), 227-241, 2004 | 2724 | 2004 |
| The cost of dichotomising continuous variables DG Altman, P Royston Bmj 332 (7549), 1080, 2006 | 2551 | 2006 |
| Dichotomizing continuous predictors in multiple regression: a bad idea P Royston, DG Altman, W Sauerbrei Statistics in medicine 25 (1), 127-141, 2006 | 2413 | 2006 |
| Regression using fractional polynomials of continuous covariates: parsimonious parametric modelling P Royston, DG Altman Journal of the Royal Statistical Society Series C: Applied Statistics 43 (3 …, 1994 | 2189 | 1994 |
| What do we mean by validating a prognostic model? DG Altman, P Royston Statistics in medicine 19 (4), 453-473, 2000 | 1854 | 2000 |
| Prognosis and prognostic research: validating a prognostic model DG Altman, Y Vergouwe, P Royston, KGM Moons Bmj 338, 2009 | 1576 | 2009 |
| Flexible parametric proportional‐hazards and proportional‐odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects P Royston, MKB Parmar Statistics in medicine 21 (15), 2175-2197, 2002 | 1482 | 2002 |
| Prognosis and prognostic research: what, why, and how? KGM Moons, P Royston, Y Vergouwe, DE Grobbee, DG Altman Bmj 338, 2009 | 1450 | 2009 |
| Maternal serum screening for Down's syndrome in early pregnancy. NJ Wald, HS Cuckle, JW Densem, K Nanchahal, P Royston, T Chard, ... British medical journal 297 (6653), 883-887, 1988 | 1351 | 1988 |
| Prognosis and prognostic research: developing a prognostic model P Royston, KGM Moons, DG Altman, Y Vergouwe Bmj 338, 2009 | 1303 | 2009 |
| Multiple imputation by chained equations (MICE): implementation in Stata P Royston, IR White Journal of statistical software 45, 1-20, 2011 | 1287 | 2011 |
| Multivariable model-building: a pragmatic approach to regression anaylsis based on fractional polynomials for modelling continuous variables P Royston, W Sauerbrei John Wiley & Sons, 2008 | 1269 | 2008 |
| The use of fractional polynomials to model continuous risk variables in epidemiology. P Royston, G Ambler, W Sauerbrei International journal of epidemiology 28 (5), 964-974, 1999 | 1237 | 1999 |
| Multiple imputation of missing values: update of ice P Royston The Stata Journal 5 (4), 527-536, 2005 | 1147 | 2005 |
| Risk prediction models: II. External validation, model updating, and impact assessment KGM Moons, AP Kengne, DE Grobbee, P Royston, Y Vergouwe, ... Heart 98 (9), 691-698, 2012 | 1136 | 2012 |
| Prognosis and prognostic research: application and impact of prognostic models in clinical practice KGM Moons, DG Altman, Y Vergouwe, P Royston Bmj 338, 2009 | 1011 | 2009 |
| Selection of important variables and determination of functional form for continuous predictors in multivariable model building W Sauerbrei, P Royston, H Binder Statistics in medicine 26 (30), 5512-5528, 2007 | 1003 | 2007 |
