| Ancestral graph Markov models T Richardson, P Spirtes The Annals of Statistics 30 (4), 962-1030, 2002 | 777 | 2002 |
| Learning high-dimensional directed acyclic graphs with latent and selection variables D Colombo, MH Maathuis, M Kalisch, TS Richardson The Annals of Statistics, 294-321, 2012 | 540 | 2012 |
| Causal inference in the presence of latent variables and selection bias PL Spirtes, C Meek, TS Richardson arXiv preprint arXiv:1302.4983, 2013 | 526 | 2013 |
| Single world intervention graphs (SWIGs): A unification of the counterfactual and graphical approaches to causality TS Richardson, JM Robins Center for the Statistics and the Social Sciences, University of Washington …, 2013 | 433 | 2013 |
| Chain graph models and their causal interpretations SL Lauritzen, TS Richardson Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2002 | 347 | 2002 |
| Alternative graphical causal models and the identification of direct effects JM Robins, TS Richardson Causality and psychopathology: Finding the determinants of disorders and …, 2010 | 308 | 2010 |
| The TETRAD project: Constraint based aids to causal model specification R Scheines, P Spirtes, C Glymour, C Meek, T Richardson Multivariate Behavioral Research 33 (1), 65-117, 1998 | 305 | 1998 |
| Demystifying optimal dynamic treatment regimes EEM Moodie, TS Richardson, DA Stephens Biometrics 63 (2), 447-455, 2007 | 303 | 2007 |
| An evaluation of machine-learning methods for predicting pneumonia mortality GF Cooper, CF Aliferis, R Ambrosino, J Aronis, BG Buchanan, R Caruana, ... Artificial intelligence in medicine 9 (2), 107-138, 1997 | 298 | 1997 |
| Markov properties for acyclic directed mixed graphs T Richardson Scandinavian Journal of Statistics 30 (1), 145-157, 2003 | 281 | 2003 |
| A discovery algorithm for directed cyclic graphs TS Richardson arXiv preprint arXiv:1302.3599, 2013 | 232 | 2013 |
| Covariate selection for the nonparametric estimation of an average treatment effect X De Luna, I Waernbaum, TS Richardson Biometrika 98 (4), 861-875, 2011 | 196 | 2011 |
| Using path diagrams as a structural equation modeling tool P Spirtes, T Richardson, C Meek, R Scheines, C Glymour Sociological Methods & Research 27 (2), 182-225, 1998 | 178 | 1998 |
| Estimation of a covariance matrix with zeros S Chaudhuri, M Drton, TS Richardson Biometrika 94 (1), 199-216, 2007 | 171 | 2007 |
| Boosting methodology for regression problems G Ridgeway, D Madigan, TS Richardson Seventh International Workshop on Artificial Intelligence and Statistics, 1999 | 155 | 1999 |
| TETRAD II: tools for causal modeling R Scheines, P Spirtes, CN Glymour, C Meek (No Title), 1994 | 151 | 1994 |
| Interpretable boosted naďve bayes classification. G Ridgeway, D Madigan, T Richardson, J O'Kane KDD, 101-104, 1998 | 147 | 1998 |
| Partial identification of the average treatment effect using instrumental variables: review of methods for binary instruments, treatments, and outcomes SA Swanson, MA Hernán, M Miller, JM Robins, TS Richardson Journal of the American Statistical Association 113 (522), 933-947, 2018 | 131 | 2018 |
| Nested Markov properties for acyclic directed mixed graphs TS Richardson, RJ Evans, JM Robins, I Shpitser The Annals of Statistics 51 (1), 334-361, 2023 | 129 | 2023 |
| Markov equivalence for ancestral graphs RA Ali, TS Richardson, P Spirtes | 123 | 2009 |
James M. Robinsprofessor of epidemiology and biostatistics harvard school of public healthVerified email at hsph.harvard.edu
