PubRank

Mark J van der Laan

Author PubWeight™ 102.34‹?›

Top papers

Rank Title Journal Year PubWeight™‹?›
1 Rejoinder to Tan. Int J Biostat 2008 6.21
2 Estimation of direct causal effects. Epidemiology 2006 3.78
3 Pillbox organizers are associated with improved adherence to HIV antiretroviral therapy and viral suppression: a marginal structural model analysis. Clin Infect Dis 2007 3.16
4 Survival ensembles. Biostatistics 2005 2.88
5 Deletion/substitution/addition algorithm in learning with applications in genomics. Stat Appl Genet Mol Biol 2004 2.77
6 History-adjusted marginal structural models for estimating time-varying effect modification. Am J Epidemiol 2007 2.56
7 Multiple testing. Part I. Single-step procedures for control of general type I error rates. Stat Appl Genet Mol Biol 2004 2.34
8 Diagnosing and responding to violations in the positivity assumption. Stat Methods Med Res 2010 2.29
9 Long-term consequences of the delay between virologic failure of highly active antiretroviral therapy and regimen modification. AIDS 2008 2.25
10 Multiple testing methods for ChIP-Chip high density oligonucleotide array data. J Comput Biol 2006 2.08
11 Empirical efficiency maximization: improved locally efficient covariate adjustment in randomized experiments and survival analysis. Int J Biostat 2008 2.06
12 A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome. Int J Biostat 2010 1.89
13 Assessing the effectiveness of antiretroviral adherence interventions. Using marginal structural models to replicate the findings of randomized controlled trials. J Acquir Immune Defic Syndr 2006 1.81
14 Using regression models to analyze randomized trials: asymptotically valid hypothesis tests despite incorrectly specified models. Biometrics 2009 1.77
15 Biomarker discovery using targeted maximum-likelihood estimation: application to the treatment of antiretroviral-resistant HIV infection. Stat Med 2009 1.57
16 An application of collaborative targeted maximum likelihood estimation in causal inference and genomics. Int J Biostat 2010 1.48
17 Collaborative targeted maximum likelihood for time to event data. Int J Biostat 2010 1.41
18 Statistical methods for analyzing sequentially randomized trials. J Natl Cancer Inst 2007 1.41
19 Simple optimal weighting of cases and controls in case-control studies. Int J Biostat 2008 1.40
20 Targeted maximum likelihood estimation of the parameter of a marginal structural model. Int J Biostat 2010 1.31
21 Supervised detection of conserved motifs in DNA sequences with cosmo. Stat Appl Genet Mol Biol 2007 1.29
22 A practical illustration of the importance of realistic individualized treatment rules in causal inference. Electron J Stat 2007 1.25
23 Simple, efficient estimators of treatment effects in randomized trials using generalized linear models to leverage baseline variables. Int J Biostat 2010 1.23
24 Resampling-based empirical Bayes multiple testing procedures for controlling generalized tail probability and expected value error rates: focus on the false discovery rate and simulation study. Biom J 2008 1.20
25 Individualized treatment rules: generating candidate clinical trials. Stat Med 2007 1.19
26 Super learning: an application to the prediction of HIV-1 drug resistance. Stat Appl Genet Mol Biol 2007 1.18
27 The relative performance of targeted maximum likelihood estimators. Int J Biostat 2011 1.17
28 Targeted maximum likelihood estimation of natural direct effects. Int J Biostat 2012 1.13
29 Nonlinearity in demographic and behavioral determinants of morbidity. Health Serv Res 2003 1.13
30 Regulatory motif finding by logic regression. Bioinformatics 2004 1.12
31 Causal models and learning from data: integrating causal modeling and statistical estimation. Epidemiology 2014 1.10
32 A causal inference approach for constructing transcriptional regulatory networks. Bioinformatics 2005 1.08
33 Analyzing sequentially randomized trials based on causal effect models for realistic individualized treatment rules. Stat Med 2008 1.05
34 A general implementation of TMLE for longitudinal data applied to causal inference in survival analysis. Int J Biostat 2012 1.05
35 Supervised distance matrices. Stat Appl Genet Mol Biol 2008 1.04
36 Causal inference in epidemiological studies with strong confounding. Stat Med 2012 0.98
37 Data-adaptive test statistics for microarray data. Bioinformatics 2005 0.97
38 Adaptive pair-matching in randomized trials with unbiased and efficient effect estimation. Stat Med 2014 0.95
39 A statistical method for constructing transcriptional regulatory networks using gene expression and sequence data. J Comput Biol 2005 0.94
40 Statistical inference for simultaneous clustering of gene expression data. Math Biosci 2002 0.94
41 Targeted estimation of nuisance parameters to obtain valid statistical inference. Int J Biostat 2014 0.92
42 Causal inference in longitudinal studies with history-restricted marginal structural models. Electron J Stat 2007 0.92
43 Targeted minimum loss based estimator that outperforms a given estimator. Int J Biostat 2012 0.92
44 Multiple testing and data adaptive regression: an application to HIV-1 sequence data. Stat Appl Genet Mol Biol 2005 0.92
45 Super learner based conditional density estimation with application to marginal structural models. Int J Biostat 2011 0.92
46 A doubly robust censoring unbiased transformation. Int J Biostat 2007 0.91
47 Cross-validated bagged prediction of survival. Stat Appl Genet Mol Biol 2006 0.91
48 Identification and efficient estimation of the natural direct effect among the untreated. Biometrics 2013 0.90
49 Assessing the causal effect of policies: an example using stochastic interventions. Int J Biostat 2013 0.87
50 A targeted maximum likelihood estimator for two-stage designs. Int J Biostat 2011 0.87
51 Sensitivity analysis for causal inference under unmeasured confounding and measurement error problems. Int J Biostat 2013 0.86
52 Targeted learning in real-world comparative effectiveness research with time-varying interventions. Stat Med 2014 0.83
53 Modeling the impact of hepatitis C viral clearance on end-stage liver disease in an HIV co-infected cohort with targeted maximum likelihood estimation. Biometrics 2013 0.83
54 Second-Order Inference for the Mean of a Variable Missing at Random. Int J Biostat 2016 0.83
55 Statistical estimation of parameters in a disease transmission model: analysis of a Cryptosporidium outbreak. Stat Med 2002 0.82
56 Statistical issues and limitations in personalized medicine research with clinical trials. Int J Biostat 2012 0.82
57 Supervised detection of regulatory motifs in DNA sequences. Stat Appl Genet Mol Biol 2003 0.82
58 Super Learner Analysis of Electronic Adherence Data Improves Viral Prediction and May Provide Strategies for Selective HIV RNA Monitoring. J Acquir Immune Defic Syndr 2015 0.82
59 Optimal Spatial Prediction Using Ensemble Machine Learning. Int J Biostat 2016 0.81
60 Finding Quantitative Trait Loci Genes with Collaborative Targeted Maximum Likelihood Learning. Stat Probab Lett 2011 0.81
61 Virologic efficacy of boosted double versus boosted single protease inhibitor therapy. AIDS 2007 0.81
62 An application of targeted maximum likelihood estimation to the meta-analysis of safety data. Biometrics 2013 0.81
63 A comparison of methods to control type I errors in microarray studies. Stat Appl Genet Mol Biol 2007 0.80
64 Targeted Learning of the Mean Outcome under an Optimal Dynamic Treatment Rule. J Causal Inference 2015 0.80
65 Issues of processing and multiple testing of SELDI-TOF MS proteomic data. Stat Appl Genet Mol Biol 2006 0.79
66 Doubly Robust and Efficient Estimation of Marginal Structural Models for the Hazard Function. Int J Biostat 2016 0.79
67 Targeted maximum likelihood estimation of effect modification parameters in survival analysis. Int J Biostat 2011 0.79
68 Modified FDR controlling procedure for multi-stage analyses. Stat Appl Genet Mol Biol 2009 0.79
69 Targeted maximum likelihood estimation in safety analysis. J Clin Epidemiol 2013 0.78
70 Antihypertensive medication use and change in kidney function in elderly adults: a marginal structural model analysis. Int J Biostat 2011 0.78
71 Effect modification by sex and baseline CD4+ cell count among adults receiving combination antiretroviral therapy in Botswana: results from a clinical trial. AIDS Res Hum Retroviruses 2012 0.78
72 Causal Inference for a Population of Causally Connected Units. J Causal Inference 2014 0.78
73 Statistical Inference for Data Adaptive Target Parameters. Int J Biostat 2016 0.77
74 Petersen et al. Respond to "Effect Modification by Time-varying Covariates" Am J Epidemiol 2007 0.77
75 Targeted maximum likelihood estimation for dynamic treatment regimes in sequentially randomized controlled trials. Int J Biostat 2012 0.77
76 Dimension reduction with gene expression data using targeted variable importance measurement. BMC Bioinformatics 2011 0.77
77 Estimation of a non-parametric variable importance measure of a continuous exposure. Electron J Stat 2012 0.77
78 Early prediction of median survival among a large AIDS surveillance cohort. BMC Public Health 2007 0.75
79 Targeted estimation of binary variable importance measures with interval-censored outcomes. Int J Biostat 2014 0.75
80 Testing the Relative Performance of Data Adaptive Prediction Algorithms: A Generalized Test of Conditional Risk Differences. Int J Biostat 2016 0.75
81 Cross-Validated Bagged Learning. J Multivar Anal 2008 0.75
82 AUC-Maximizing Ensembles through Metalearning. Int J Biostat 2016 0.75
83 Repeated measures semiparametric regression using targeted maximum likelihood methodology with application to transcription factor activity discovery. Stat Appl Genet Mol Biol 2011 0.75
84 Optimal Individualized Treatments in Resource-Limited Settings. Int J Biostat 2016 0.75
85 Special Issue on Data-Adaptive Statistical Inference. Int J Biostat 2016 0.75
86 Analysis of the effect of occupational exposure to asbestos based on threshold regression modeling of case-control data. Biostatistics 2013 0.75
87 Super-Learning of an Optimal Dynamic Treatment Rule. Int J Biostat 2016 0.75
88 Targeted maximum likelihood estimation for prediction calibration. Int J Biostat 2012 0.75
89 Targeted minimum loss based estimation of a causal effect on an outcome with known conditional bounds. Int J Biostat 2012 0.75
90 Comparison of targeted maximum likelihood and shrinkage estimators of parameters in gene networks. Stat Appl Genet Mol Biol 2012 0.75
91 A Case Study of the Impact of Data-Adaptive Versus Model-Based Estimation of the Propensity Scores on Causal Inferences from Three Inverse Probability Weighting Estimators. Int J Biostat 2016 0.75
92 Racial/Ethnic Differences in the Role of Childhood Adversities for Mental Disorders Among a Nationally Representative Sample of Adolescents. Epidemiology 2016 0.75