| Boosting: Foundations and algorithms RE Schapire, Y Freund Kybernetes, 2013 | 1074* | 2013 |
| Super learner MJ Van der Laan, EC Polley, AE Hubbard bepress, 2007 | 1066 | 2007 |
| Unified methods for censored longitudinal data and causality MJ van der Laan, JM Robins Springer Verlag [BOOK], 2003 | 941 | 2003 |
| Targeted learning: causal inference for observational and experimental data M van der Laan, S Rose Springer Verlag [BOOK], 2011 | 769 | 2011 |
| Multiple testing procedures with applications to genomics S Dudoit, MJ van der Laan Springer Verlag [BOOK], 2008 | 759* | 2008 |
| To GEE or not to GEE: comparing population average and mixed models for estimating the associations between neighborhood risk factors and health AE Hubbard, J Ahern, NL Fleischer, M Van der Laan, SA Satariano, ... Epidemiology, 467-474, 2010 | 753 | 2010 |
| Survival ensembles T Hothorn, P Bühlmann, S Dudoit, A Molinaro, MJ Van Der Laan Biostatistics 7 (3), 355-373, 2006 | 636 | 2006 |
| Targeted maximum likelihood learning MJ Van Der Laan, D Rubin International journal of biostatistics 2 (1), Article 1, 2006 | 595 | 2006 |
| Estimation of direct causal effects ML Petersen, SE Sinisi, MJ van der Laan Epidemiology, 276-284, 2006 | 414 | 2006 |
| Promoting transparency in social science research E Miguel, C Camerer, K Casey, J Cohen, KM Esterling, A Gerber, ... Science 343 (6166), 30-31, 2014 | 375 | 2014 |
| Diaphragm and lubricant gel for prevention of HIV acquisition in southern African women: a randomised controlled trial NS Padian, A van der Straten, G Ramjee, T Chipato, G de Bruyn, ... The Lancet 370 (9583), 251-261, 2007 | 351 | 2007 |
| Marginal mean models for dynamic regimes SA Murphy, MJ van der Laan, JM Robins, ... Journal of the American Statistical Association 96 (456), 1410-1423, 2001 | 335 | 2001 |
| Diagnosing and responding to violations in the positivity assumption ML Petersen, KE Porter, S Gruber, Y Wang, MJ Van Der Laan Statistical methods in medical research 21 (1), 31-54, 2012 | 311 | 2012 |
| Coarsening at random: Characterizations, conjectures, counter-examples RD Gill, MJ Van Der Laan, JM Robins Proceedings of the First Seattle Symposium in Biostatistics, 255-294, 1997 | 256 | 1997 |
| A new algorithm for hybrid hierarchical clustering with visualization and the bootstrap MJ Van der Laan, KS Pollard Journal of Statistical Planning and Inference 117 (2), 275-303, 2003 | 245* | 2003 |
| A new partitioning around medoids algorithm M Van der Laan, K Pollard, J Bryan Journal of Statistical Computation and Simulation 73 (8), 575-584, 2003 | 236 | 2003 |
| Multiple testing. Part I. Single-step procedures for control of general type I error rates S Dudoit, MJ Van der Laan, KS Pollard bepress, 2003 | 229 | 2003 |
| Why match? Investigating matched case-control study designs with causal effect estimation S Rose, MJ Van der Laan The international journal of biostatistics 5 (1), 2009 | 228* | 2009 |
| Influenza vaccination and mortality: differentiating vaccine effects from bias B Fireman, J Lee, N Lewis, O Bembom, M Van Der Laan, R Baxter American journal of epidemiology 170 (5), 650-656, 2009 | 225 | 2009 |
| Super learner in prediction EC Polley, MJ Van der Laan bepress, 2010 | 217 | 2010 |
Katherine S PollardDirector, Gladstone Institute of Data Science & Biotechnology / UCSFVerified email at gladstone.ucsf.edu
