| Odds ratios for mediation analysis for a dichotomous outcome TJ VanderWeele, S Vansteelandt American journal of epidemiology 172 (12), 1339-1348, 2010 | 863 | 2010 |
| Mediation analysis with multiple mediators T VanderWeele, S Vansteelandt Epidemiologic methods 2 (1), 95-115, 2014 | 859 | 2014 |
| Conceptual issues concerning mediation, interventions and composition TJ VanderWeele, S Vansteelandt Statistics and its Interface 2 (4), 457-468, 2009 | 791 | 2009 |
| Attributable mortality of ventilator-associated pneumonia: a reappraisal using causal analysis M Bekaert, JF Timsit, S Vansteelandt, P Depuydt, A Vésin, ... American journal of respiratory and critical care medicine 184 (10), 1133-1139, 2011 | 484 | 2011 |
| A simple unified approach for estimating natural direct and indirect effects T Lange, S Vansteelandt, M Bekaert American journal of epidemiology 176 (3), 190-195, 2012 | 462 | 2012 |
| Effect decomposition in the presence of an exposure-induced mediator-outcome confounder TJ VanderWeele, S Vansteelandt, JM Robins Epidemiology 25 (2), 300-306, 2014 | 404 | 2014 |
| Causal mediation analysis with multiple mediators RM Daniel, BL De Stavola, SN Cousens, S Vansteelandt Biometrics 71 (1), 1-14, 2015 | 353 | 2015 |
| A comparison of multiple imputation and doubly robust estimation for analyses with missing data JR Carpenter, MG Kenward, S Vansteelandt Journal of the Royal Statistical Society Series A: Statistics in Society 169 …, 2006 | 279 | 2006 |
| Medflex: an R package for flexible mediation analysis using natural effect models J Steen, T Loeys, B Moerkerke, S Vansteelandt Journal of Statistical Software 76, 1-46, 2017 | 272 | 2017 |
| A guideline for reporting mediation analyses of randomized trials and observational studies: the AGReMA statement H Lee, AG Cashin, SE Lamb, S Hopewell, S Vansteelandt, ... Jama 326 (11), 1045-1056, 2021 | 269 | 2021 |
| Interventional effects for mediation analysis with multiple mediators S Vansteelandt, RM Daniel Epidemiology 28 (2), 258-265, 2017 | 259 | 2017 |
| Instrumental variable estimation in a survival context EJT Tchetgen, S Walter, S Vansteelandt, T Martinussen, M Glymour Epidemiology 26 (3), 402-410, 2015 | 240 | 2015 |
| Structural nested models and G-estimation: the partially realized promise S Vansteelandt, M Joffe | 228 | 2014 |
| On model selection and model misspecification in causal inference S Vansteelandt, M Bekaert, G Claeskens Statistical methods in medical research 21 (1), 7-30, 2012 | 214 | 2012 |
| Estimating direct effects in cohort and case–control studies S Vansteelandt Epidemiology 20 (6), 851-860, 2009 | 200 | 2009 |
| Causal inference with generalized structural mean models S Vansteelandt, E Goetghebeur Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2003 | 200 | 2003 |
| Ignorance and uncertainty regions as inferential tools in a sensitivity analysis S Vansteelandt, E Goetghebeur, MG Kenward, G Molenberghs Statistica Sinica, 953-979, 2006 | 198 | 2006 |
| On regression adjustment for the propensity score S Vansteelandt, RM Daniel Statistics in medicine 33 (23), 4053-4072, 2014 | 197 | 2014 |
| Imputation strategies for the estimation of natural direct and indirect effects S Vansteelandt, M Bekaert, T Lange Epidemiologic Methods 1 (1), 131-158, 2012 | 192 | 2012 |
| Bias-reduced doubly robust estimation K Vermeulen, S Vansteelandt Journal of the American Statistical Association 110 (511), 1024-1036, 2015 | 160 | 2015 |
Tyler J. VanderWeeleJohn L. Loeb and Frances Lehman Loeb Professor of Epidemiology, Harvard UniversityVerified email at hsph.harvard.edu
