| Risk for hospitalized heart failure among new users of saxagliptin, sitagliptin, and other antihyperglycemic drugs: a retrospective cohort study S Toh, C Hampp, ME Reichman, DJ Graham, S Balakrishnan, F Pucino, ... Annals of internal medicine 164 (11), 705-714, 2016 | 127 | 2016 |
| ltmle: an R package implementing targeted minimum loss-based estimation for longitudinal data SD Lendle, J Schwab, ML Petersen, MJ van der Laan Journal of Statistical Software 81, 1-21, 2017 | 121 | 2017 |
| Using super learner prediction modeling to improve high-dimensional propensity score estimation R Wyss, S Schneeweiss, M Van Der Laan, SD Lendle, C Ju, JM Franklin Epidemiology 29 (1), 96-106, 2018 | 93 | 2018 |
| Online cross‐validation‐based ensemble learning D Benkeser, C Ju, S Lendle, M van der Laan Statistics in medicine 37 (2), 249-260, 2018 | 62 | 2018 |
| Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods C Ju, M Combs, SD Lendle, JM Franklin, R Wyss, S Schneeweiss, ... Journal of Applied Statistics 46 (12), 2216-2236, 2019 | 52 | 2019 |
| Scalable collaborative targeted learning for high-dimensional data C Ju, S Gruber, SD Lendle, A Chambaz, JM Franklin, R Wyss, ... Statistical methods in medical research 28 (2), 532-554, 2019 | 51* | 2019 |
| Package ‘SuperLearner’ E Polley, E LeDell, C Kennedy, S Lendle, M van der Laan CRAN, 2019 | 48 | 2019 |
| ltmle: Longitudinal targeted maximum likelihood estimation J Schwab, S Lendle, M Petersen, M van der Laan R package version 0.9 3, 2014 | 45 | 2014 |
| Cravings as a mediator and moderator of drinking outcomes in the COMBINE study MS Subbaraman, S Lendle, M van der Laan, LA Kaskutas, J Ahern Addiction 108 (10), 1737-1744, 2013 | 44 | 2013 |
| Targeted maximum likelihood estimation in safety analysis SD Lendle, B Fireman, MJ Van Der Laan Journal of clinical epidemiology 66 (8), S91-S98, 2013 | 39 | 2013 |
| Identification and efficient estimation of the natural direct effect among the untreated SD Lendle, MS Subbaraman, MJ van der Laan Biometrics 69 (2), 310-317, 2013 | 31 | 2013 |
| Prospective postmarketing surveillance of acute myocardial infarction in new users of saxagliptin: a population-based study S Toh, ME Reichman, DJ Graham, C Hampp, R Zhang, MG Butler, A Iyer, ... Diabetes care 41 (1), 39-48, 2018 | 29 | 2018 |
| Group testing for case identification with correlated responses SD Lendle, MG Hudgens, BF Qaqish Biometrics 68 (2), 532-540, 2012 | 29 | 2012 |
| Online targeted learning MJ van der Laan, SD Lendle bepress, 2014 | 25 | 2014 |
| ltmle: longitudinal targeted maximum likelihood estimation. 2017 J Schwab, S Lendle, M Petersen, M van der Laan, S Gruber R package version 0.9-9, 2014 | 15 | 2014 |
| Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods C Ju, M Combs, SD Lendle, JM Franklin, R Wyss, S Schneeweiss, ... arXiv preprint arXiv:1703.02236, 2017 | 12 | 2017 |
| Package ‘SuperLearner’. 2019 E Polley, E LeDell, C Kennedy, S Lendle, M van der Laan CRAN, 2022 | 11 | 2022 |
| SuperLearner: Super Learner Prediction version 2.0-2.4 E Polley, E LeDell, C Kennedy, S Lendle, MJ van der Laan | 11 | 2021 |
| Balancing score adjusted targeted minimum loss-based estimation SD Lendle, B Fireman, MJ van der Laan Journal of causal inference 3 (2), 139-155, 2015 | 10 | 2015 |
| Online targeted learning for time series MJ van Der Laan, S Rose, MJ van der Laan, A Chambaz, S Lendle Targeted Learning in Data Science: Causal Inference for Complex Longitudinal …, 2018 | 7 | 2018 |
