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Mark J. van der Laan and Maya L. Petersen, History-Adjusted Marginal Structural Models and Statically-Optimal Dynamic Treatment RegimesU.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 158.
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Mark J. van der Laan and Aad van der Vaart, Estimating a Survival Distribution with Current Status Data and High-Dimensional Covariates U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 156.
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Mark J. van der Laan, Alan E. Hubbard, and Nicholas P. Jewell, Estimation of Treatment Effects in Randomized Trials with Noncompliance and a Dichotomous Outcome . U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 157.
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Mark J. van der Laan and Maya L. Petersen, Estimation of Direct and Indirect Causal Effects in Longitudinal Studies. U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 155.
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Sandra E. Sinisi and Mark J. van der Laan (2004) Deletion/Substitution/Addition Algorithm in Learning with Applications in Genomics, Statistical Applications in Genetics and Molecular Biology: Vol. 3: No. 1, Article 18.
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Mark J. van der Laan, Sandrine Dudoit, and Katherine S. Pollard (2004) Augmentation Procedures for Control of the Generalized Family-Wise Error Rate and Tail Probabilities for the Proportion of False Positives, Statistical Applications in Genetics and Molecular Biology: Vol. 3: No. 1, Article 15.
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Mark J. van der Laan, Sandrine Dudoit, and Katherine S. Pollard (2004) Multiple Testing. Part II. Step-Down Procedures for Control of the Family-Wise Error Rate, Statistical Applications in Genetics and Molecular Biology: Vol. 3: No. 1, Article 14.
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Sandrine Dudoit, Mark J. van der Laan, and Katherine S. Pollard (2004) Multiple Testing. Part I. Single-Step Procedures for Control of General Type I Error Rates, Statistical Applications in Genetics and Molecular Biology: Vol. 3: No. 1, Article 13.
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Annette Molinaro, Mark J. van der Laan, Dan H. Moore, and Karla Kerlikowske, Survival Point Estimate Prediction in Cohorts with Nested Case-Control Study Designs . U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 149.
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Sunduz Keles, Mark J. van der Laan, Sandrine Dudoit, and Simon E. Cawley, Multiple Testing Methods For ChIP-Chip High Density Oligonucleotide Array Data. U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 147.
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Sunduz Keles, Mark J. van der Laan, and Chris Vulpe, Regulatory Motif Finding by Logic Regression. U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 145.
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Mark J. van der Laan, Sandrine Dudoit, and Sunduz Keles (2004) Asymptotic Optimality of Likelihood-Based Cross-Validation, Statistical Applications in Genetics and Molecular Biology: Vol. 3: No. 1, Article 4.
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Biao Xing and Mark J. van der Laan, A Statistical Method for Constructing Transcriptional Regulatory Networks Using Gene Expression and Sequence Data . U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 144.
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Sandra E. Sinisi and Mark J. van der Laan, Loss-Based Cross-Validated Deletion/Substitution/Addition Algorithms in Estimation (March 3, 2004). U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 143.
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Mark J. van der Laan, Sandrine Dudoit, and Aad W. van der Vaart, The Cross-Validated Adaptive Epsilon-Net Estimator. U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 142.
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Mark J. van der Laan, Sandrine Dudoit, and Katherine S. Pollard, Multiple Testing. Part III. Procedures for Control of the Generalized Family-Wise Error Rate and Proportion of False Positives. U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 141.
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Thaddeus Haight, Romain Neugebauer, Ira B. Tager, and Mark J. van der Laan, Comparison of the Inverse Probability of Treatment Weighted (IPTW) Estimator With a Naïve Estimator in the Analysis of Longitudinal Data With Time-Dependent Confounding: A Simulation Study (December 17, 2003). U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 140.
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K.S. Pollard, M.J. van der Laan (2003), Multiple testing for gene expression data: an investigation of null distributions with consequences for the permutation test, Proceedings of the 2003 International MultiConference in Computer Science and Engineering, METMBS'03 Conference, pp.3-9.
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S. Keles, M.J. van der Laan, S. Dudoit, B. Xing, M.B. Eisen (2003), Supervised detection of regulatory motifs in DNA sequences, submitted.
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M.J. van der Laan, S. Dudoit, S. Keles (2003), Asymptotic optimality of likelihood-based cross-validation, submitted.
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S. Keles, M.J. van der Laan, S. Dudoit (2003), Asymptotically optimal model selection method for regression on censored outcomes, submitted.
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M. Miloslavsky, S. Keles, M. J. van der Laan, S. Butler (2002), Recurrent events analysis in the presence of time dependent covariates and dependent censoring, to appear in the Journal of Royal Statistical Society , Series B.
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K.S. Pollard, M.J. van der Laan (2002), Resampling-based Multiple Testing: Asymptotic Control of Type I Error and Applications to Gene Expression Data, revised for a special issue of Journal of Statistical Planning and Inference.
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K.S. Pollard, M.J. van der Laan (2002), Statistical inference for simultaneous clustering of gene expression data, in Nonlinear Estimation and Classification, D.D. Denison, M.H. Hansen, C. Holmes, B. Mallick, B. Yu (Editors). Springer-Verlag, pp. 305-320.
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K.S. Pollard, M.J. van der Laan (2002), New methods for identifying significant clusters in gene expression data, 2002 Proceedings of the American Statistical Association, Biometrics Section [CD-ROM].
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S. Keles , M.J. van der Laan, J.M. Robins (2002), Estimation of the Bivariate Survival Function with Right Censored Data Structures,  to appear in the Volume on Survival Analysis  of the book series  Handbook of Statistics. 
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K.S. Pollard, M.J. van der Laan (2002), A method to identify significant clusters in gene expression data, Proceedings of SCI 2002: Vol. II, pp. 318-325.
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S. Keles, M.J. van der Laan, M. B. Eisen (2002), Identification of Regulatory Elements Using A Feature Selection Method. Bioinformatics: 18, pp. 1167-1175.
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M.J. van der Laan, K.S. Pollard, J. Bryan (2003), A New Partitioning Around Medoids Algorithm, revised for Journal of Statistical Computation and Simulation: 73(8), pp.575-584.
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M.J. van der Laan, K.S. Pollard (2001), Hybrid clustering of gene expression data with visualization and the bootstrap, revised for Journal of Statistical Planning and Inference, 2003, 117, pp. 275--303.
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J. Bryan, K.S. Pollard, M.J. van der Laan (2002), Paired and Unpaired Comparison and Clustering with Gene Expression Data, revised for Statistica Sinica: 12(1), pp. 87-110.
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K.S. Pollard, M.J. van der Laan (2002), Statistical Inference for Simultaneous Clustering of Gene Expression Data, revised for Mathematical Biosciences: 176(1), pp. 99-121.
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C. Andrews, M.J. van der Laan, J.M. Robins (2001), Locally Efficient Estimation of Regression Parameters Using Current Status Data, revised for publication in Journal of the American Statistical Association.
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S.A. Murphy, M.J. van der Laan, J.M. Robins (2001), Marginal Mean Models for Dynamic Treatment Regimes, to appear in Journal of the American Statistical Association.
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M.J. van der Laan, J. Bryan (2001), Gene Expression Analysis with the Parametric Bootstrap, to appear in Biostatistics.
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M.J. van der Laan, A. Hubbard, J.M. Robins (2001), Locally Efficient Estimation of a Multivariate Survival Function in Longitudinal Studies, revised for publication in Journal of the American Statistical Association.
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M.J. van der Laan, N.P. Jewell (2001), The NPMLE in the Uniform Doubly Censored Current Status Data Model, to appear in Scandinavian Journal of Statistics.
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A.E. Hubbard, M.J. van der Laan, W. Enaroria, J. Colford (2000), Nonparametric Survival Estimation When Death is Reported with Delay, to appear in Lifetime Data Models.
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C. Quale, M.J. van der Laan (2000), Inference with Bivariate Truncated Data, to appear in Lifetime Data Models.
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M.J. van der Laan, C. Andrews (2000), The Nonparametric Maximum Likelihood Estimator in a Class of Doubly Censored Current Status Data Models with Application to Partner Studies, Biometrika: 87, Vol. 1, pp. 61-71.
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M.J. van der Laan, R.D. Gill, J.M. Robins (2000), Locally Efficient Estimation in Censored Data Models, Technical report, Division of Biostatistics, UC Berkeley.
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M.J. van der Laan, N.P. Jewell (2000), Current Status and Right-Censored Data Structures when Observing a Marker at the Censoring Time, tentatively accepted for publication in the Annals of Statistics.
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M.J. van der Laan, P. van der Laan (2000), Subset Selection Based on Order Statistics from Logistic Populations, Statistics 00, 1-9.
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A. Hubbard, M.J. van der Laan, J.M. Robins (1999), Nonparametric Locally Efficient Estimation of the Treatment Specific Survival Distribution with Right Censored Data and Covariates in Observational Studies, Statistical Models in Epidemiology, The Environment and Clinical trials, IMA Volumes in Mathematics and its Applications, Eds. M.E. Halloran and D. Berry, Springer Verlag, Vol. 116, pp. 135-178.
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M.J. van der Laan, R.D. Gill (1999), Efficiency of the NPMLE in Nonparametric Missing Data Models. Mathematical Methods of Statistics: 8(2), pp. 251-276.
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M.J. van der Laan, A. Hubbard (1999), Locally Efficient Estimation of the Quality Adjusted Lifetime Distribution with Right-Censored Data and Covariates, Biometrics, 55, 530-536.
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M.J. van der Laan (1998), Identity for NPMLE in Censored Data Models, Lifetime Data Models: 4, pp. 83-102.
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M.J. van der Laan, A. Hubbard (1998), Locally Efficient Estimation of the Survival Distribution with Right Censored Data and Covariates when Collection of Data is Delayed. Biometrika: 85(4), pp. 771-783.
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M.J. van der Laan, J.M. Robins (1998), Locally Efficient Estimation with Current Status Data and Time-Dependent Covariates. Journal of the American Statistical Association: 93(442), pp. 693-701.
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R.D. Gill, M.J. van der Laan, J.R. Robins (1997), Coarsening at Random: Characterizations, Conjectures and Counter-Examples. Proceedings of the First Seattle Symposium in Biostatistics, 1995. D.Y. Lin and T.R Fleming (editors), Springer Lecture Notes in Statistics, 255-294.
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M.J. van der Laan, I. McKeague (1997), Efficient Estimation from Right-Censored Data when Failure Indicators are Missing at Random. Annals of Statistics 164-182, 26.
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M.J. van der Laan (1996), Efficient Estimation of the Bivariate Censoring Model and Repairing NPMLE. Annals of Statistics: 24(2), pp. 596-627.
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M.J. van der Laan (1996), Nonparametric Estimation of the Bivariate Survival Function with Truncated Data, Journal of Multivariate Analysis: 58(1), pp. 107-131.
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R.D. Gill, M.J. van der Laan, J.A. Wellner (1995), Inefficient Estimators of the Bivariate Survival Function for Three Models. Annales de L'I.H.P. Prob. Stat.: 31(3), pp. 545-597.
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M.J. van der Laan (1995), An Identity for the Nonparametric Maximum Likelihood Estimator in Missing Data and Biased Sampling Models. Bernoulli 1(4), pp. 335-341.
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M.J. van der Laan (1994), Modified EM-estimator of the Bivariate Survival Function. Mathematical Methods of Statistics: 3, pp. 213-243.
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