Mark van der Laan
Mark van der Laan
Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics & Statistics, University of California Berkeley
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Geciteerd door
Geciteerd door
Super learner
MJ Van der Laan, EC Polley, AE Hubbard
Statistical applications in genetics and molecular biology 6 (1), 2007
Boosting: Foundations and algorithms
RE Schapire, Y Freund
Kybernetes, 2013
Unified methods for censored longitudinal data and causality
MJ van der Laan, JM Robins
Springer Verlag [BOOK], 2003
Targeted learning: causal inference for observational and experimental data
M van der Laan, S Rose
Springer Verlag [BOOK], 2011
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
Multiple testing procedures with applications to genomics
S Dudoit, MJ van der Laan
Springer Verlag [BOOK], 2008
Survival ensembles
T Hothorn, P Bühlmann, S Dudoit, A Molinaro, MJ Van Der Laan
Biostatistics 7 (3), 355-373, 2006
Targeted maximum likelihood learning
MJ Van Der Laan, D Rubin
International journal of biostatistics 2 (1), Article 1, 2006
Estimation of direct causal effects
ML Petersen, SE Sinisi, MJ van der Laan
Epidemiology, 276-284, 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
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
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
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
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
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
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
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
Super learner in prediction
EC Polley, MJ Van Der Laan
bepress, 2010
Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study
R Pirracchio, ML Petersen, M Carone, MR Rigon, S Chevret, ...
The Lancet Respiratory Medicine 3 (1), 42-52, 2015
Unified cross-validation methodology for selection among estimators and a general cross-validated adaptive epsilon-net estimator: Finite sample oracle inequalities and examples
MJ Van Der Laan, S Dudoit
bepress, 2003
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