Person Details: Mark J. van der Laan

Superfund Research Program

Mark J. van der Laan

University of California-Berkeley
School of Public Health
Division of Biostatistics
101 Haviland Hall #7358
Berkeley, California 94720-7358
Phone: 510-642-3241
Fax: 510-643-5163
Email: laan@stat.berkeley.edu

Projects

• University of California-Berkeley: Quantitative Biology: Biostatistics, Bioinformatics, and Computation (2006-2017)

Publications

2023

• Hejazi NS, Boileau P, van der Laan MJ, Hubbard AE. 2023. A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology. Stat Methods Med Res 32(3):539-554. doi:10.1177/09622802221146313 PMID:36573044

2019

• Ju C, Benkeser D, van der Laan MJ. 2019. Robust inference on the average treatment effect using the outcome highly adaptive lasso. Biometrics doi:10.1111/biom.13121 PMID:31350906

2018

• Hejazi NS, Phillips RV, Hubbard AE, van der Laan MJ. 2018. Methyvim: targeted, robust, and model-free differential methylation analysis in R. F1000 Biol Rep 7:1424. doi:10.12688/f1000research.16047.1
• Ju C, Bibaut A, van der Laan MJ. 2018. The relative performance of ensemble methods with deep convolutional neural networks for image classification. Journal of Applied Statistics 45(15):2800-2818. doi:10.1080/02664763.2018.1441383

2016

• Chambaz A, Hubbard AE, van der Laan MJ. 2016. Special issue on data-adaptive statistical inference. Int J Biostat 12(1):1. doi:10.1515/ijb-2016-0033 PMID:27227714
• Goldstein BA, Polley EC, Briggs F, van der Laan MJ, Hubbard AE. 2016. Testing the relative performance of data adaptive prediction algorithms: a generalized test of conditional risk differences. Int J Biostat 12(1):117-129. doi:10.1515/ijb-2015-0014 PMID:26529567 PMCID:PMC4854799
• Hubbard AE, Kherad-Pajouh S, van der Laan MJ. 2016. Statistical inference for data adaptive target parameters. Int J Biostat 12(1):3-19. doi:10.1515/ijb-2015-0013 PMID:27227715

2011

• Hubbard AE, Jewell NP, van der Laan MJ. 2011. Direct Effects and Effect Among the Treated. Chapter 8 in: Targeted learning: causal inference for observational and experimental data. Springer, New York, NY. pp.133-143.
• Porter KE, Gruber S, van der Laan MJ, Sekhon JS. 2011. The Relative Performance of Targeted Maximum Likelihood Estimators. (non-peer reviewed)
• Wang H, van der Laan MJ. 2011. Dimension reduction with gene expression data using targeted variable importance measurement. BMC Bioinformatics 12:312. doi:10.1186/1471-2105-12-312 PMID:21849016 PMCID:PMC3166941

2008

• Hubbard AE, van der Laan MJ. 2008. Population Intervention models In causal inference. Biometrika 95(1):35-47. doi:10.1093/biomet/asm097 PMID:18629347

2007

• Chen J, van der Laan MJ, Smith MT, Hubbard AE. 2007. A comparison of methods to control type I errors in microarray studies. Stat Appl Genet Mol Biol 6:Article28. doi:10.2202/1544-6115.1310 PMID:18052911
• van der Laan MJ, Polley EC, Hubbard AE. 2007. Super Learning. Stat Appl Genet Mol Biol 6(1):25.

2006

• Birkner MD, Hubbard AE, van der Laan MJ, Skibola CF, Hegedus CM, Smith MT. 2006. Issues of processing and multiple testing of SELDI-TOF MS proteomic data. Stat Appl Genet Mol Biol 5:Article11. doi:10.2202/1544-6115.1198 PMID:16646865
• van der Laan MJ, Birkner MD, Hubbard AE. 2006. Empirical Bayes and resampling based multiple testing procedure controlling tail probability of the proportion of false positives. Stat Appl Genet Mol Biol 4(1):Article29. PMID:16646847
• van der Laan MJ, Hubbard AE. 2006. Quantile-function based null distribution in resampling based multiple testing. Stat Appl Genet Mol Biol 5:Article14. doi:10.2202/1544-6115.1199 PMID:17049025