Mark J. van der Laan

发表

Adaptive Sequential Design for a Single Time-Series pdf

Aurélien F. Bibaut, Ivana Malenica, Aurelien Bibaut, 2021, ArXiv.

Cross-Validated Loss-Based Covariance Matrix Estimator Selection in High Dimensions

Sandrine Dudoit, Nima S. Hejazi, Philippe Boileau, 2021 .

Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes

Thomas A. Gerds, Mark J. van der Laan, Helene C. Rytgaard, 2021, The Annals of Statistics.

A deletion/substitution/addition algorithm for classification neural networks, with applications to biomedical data

Sandrine Dudoit, Blythe Durbin, Mark J. van der Laan, 2008 .

Direct Effects and Effect Among the Treated

Nicholas P. Jewell, Alan Hubbard, Mark J. van der Laan, 2011 .

Resampling-Based Multiple Hypothesis Testing with Applications to Genomics: New Developments in the R/Bioconductor Package multtest

Sandrine Dudoit, Katherine S. Pollard, Mark J. van der Laan, 2009 .

Coarsening at Random: Characterizations, Conjectures, Counter-Examples

James M. Robins, Richard D. Gill, Mark J. van der Laan, 1997 .

CV-TMLE for Nonpathwise Differentiable Target Parameters

Alexander R. Luedtke, Aurélien F. Bibaut, Mark J. van der Laan, 2018 .

Parametric-Rate Inference for One-Sided Differentiable Parameters

Alexander R. Luedtke, Mark J. van der Laan, M. Laan, 2016, Journal of the American Statistical Association.

Super Learner In Prediction

Mark J. van der Laan, Eric C. Polley, Mark J. van der Laan, 2010 .

One-step Targeted Maximum Likelihood for Time-to-event Outcomes

Weixin Cai, Mark J. van der Laan, M. Laan, 2018 .

Covariate Adjustment for the Intention-to-Treat Parameter with Empirical Efficiency Maximization

Daniel B. Rubin, Mark J. van der Laan, D. Rubin, 2008 .

Estimation of Direct and Indirect Causal Effects in Longitudinal Studies

Maya L. Petersen, Mark J. van der Laan, M. Petersen, 2004 .

Nonparametric estimation from current status data with competing risks

Nicholas P. Jewell, Mark J. van der Laan, N. Jewell, 2003 .

Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models: Comment

Mark J. van der Laan, 1999 .

Case Study: Longitudinal HIV Cohort Data

Maya L. Petersen, Mark J. van der Laan, 2011 .

Comprar Multiple Testing Procedures with Applications to Genomics | Dudoit, Sandrine | 9780387493169 | Springer

Sandrine Dudoit, Mark J. van der Laan, S. Dudoit, 2007 .

Tutorial for Causal Inference

Mark J. van der Laan, Laura Balzer, Maya Petersen, 2016, Handbook of Big Data.

Asymptotics of Cross-Validated Risk Estimation in Model Selection and Performance Assessment

Sandrine Dudoit, Mark J. van der Laan, S. Dudoit, 2003 .

Data-adaptive smoothing for optimal-rate estimation of possibly non-regular parameters

Aurélien F. Bibaut, Mark J. van der Laan, M. Laan, 2017, 1706.07408.

Fast rates for empirical risk minimization over c\`adl\`ag functions with bounded sectional variation norm

Aurélien F. Bibaut, Aur'elien F. Bibaut, Mark J. van der Laan, 2019 .

Sequential Double Robustness in Right-Censored Longitudinal Models

Marco Carone, Oleg Sofrygin, Alexander R. Luedtke, 2017, 1705.02459.

Multiple tests of association with biological annotation metadata

Sandrine Dudoit, Mark J. van der Laan, S. Dudoit, 2008, 0805.3008.

Fast rates for empirical risk minimization with cadlag losses with bounded sectional variation norm

Aurélien F. Bibaut, Aur'elien F. Bibaut, Mark J. van der Laan, 2019, 1907.09244.

Multiple Testing Procedures for Controlling Tail Probability Error Rates

Sandrine Dudoit, Mark J. van der Laan, S. Dudoit, 2004 .

Test Statistics Null Distributions in Multiple Testing: Simulation Studies and Applications to Genomics

Sandrine Dudoit, Katherine S. Pollard, Mark J. van der Laan, 2005 .

Efficient Estimation from Right-Censored Data When Failure Indicators are Missing at Random

Ian W. McKeague, Mark J. van der Laan, I. McKeague, 1998 .

Locally efficient estimation of the survival distribution with right-censored data and covariates when collection of data is delayed

Alan Hubbard, Mark J. van der Laan, M. Laan, 1998 .

Longitudinal Targeted Maximum Likelihood Estimation

Maya L. Petersen, Samuel D. Lendle, Joshua Schwab, 2015 .

The Kaplan-Meier Integral in the Presence of Covariates: A Review

Thomas A. Gerds, Martin Schumacher, Jan Beyersmann, 2017 .

The Cross-Validated Adaptive Epsilon-Net Estimator

Aad van der Vaart, Sandrine Dudoit, Mark J. van der Laan, 2006 .

Locally Ecient Estimation with Current Status Data and Time-Dependent Covariates

James M. Robins, Mark J. van der Laan, J. Robins, 2001 .