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Samuel Lendle
Samuel Lendle
Email confirmado em berkeley.edu
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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
1232016
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
1012017
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
832018
Online cross‐validation‐based ensemble learning
D Benkeser, C Ju, S Lendle, M van der Laan
Statistics in medicine 37 (2), 249-260, 2018
552018
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, 2019
492019
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
47*2019
Package ‘SuperLearner’
E Polley, E LeDell, C Kennedy, S Lendle, M van der Laan
CRAN, 2019
442019
ltmle: Longitudinal targeted maximum likelihood estimation
J Schwab, S Lendle, M Petersen, M van der Laan
R package version 0.9 3, 2014
422014
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
422013
Targeted maximum likelihood estimation in safety analysis
SD Lendle, B Fireman, MJ Van Der Laan
Journal of clinical epidemiology 66 (8), S91-S98, 2013
322013
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
292013
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
282018
Group testing for case identification with correlated responses
SD Lendle, MG Hudgens, BF Qaqish
Biometrics 68 (2), 532-540, 2012
272012
Online targeted learning
MJ van der Laan, SD Lendle
bepress, 2014
242014
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
152014
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
122017
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
102015
Package ‘SuperLearner’. 2019
E Polley, E LeDell, C Kennedy, S Lendle, M van der Laan
CRAN, 2022
92022
SuperLearner: Super Learner Prediction version 2.0-2.4
E Polley, E LeDell, C Kennedy, S Lendle, MJ van der Laan
92021
Mini-Sentinel Saxagliptin-AMI Surveillance Writing Group. Prospective postmarketing surveillance of acute myocardial infarction in new users of saxagliptin: a population-based …
S Toh, ME Reichman, DJ Graham, C Hampp, R Zhang, MG Butler, A Iyer, ...
Diabetes Care 41 (1), 39-48, 2018
62018
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