Published in Int J Biostat on August 17, 2011
A double robust approach to causal effects in case-control studies. Am J Epidemiol (2014) 0.91
Predicting the Population Health Impacts of Community Interventions: The Case of Alcohol Outlets and Binge Drinking. Am J Public Health (2016) 0.90
Consistent causal effect estimation under dual misspecification and implications for confounder selection procedures. Stat Methods Med Res (2012) 0.83
Targeted maximum likelihood estimation of effect modification parameters in survival analysis. Int J Biostat (2011) 0.79
Targeted maximum likelihood estimation in safety analysis. J Clin Epidemiol (2013) 0.78
Estimating population treatment effects from a survey subsample. Am J Epidemiol (2014) 0.78
Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury. Health Econ (2015) 0.76
Targeted Maximum Likelihood Estimation for Pharmacoepidemiologic Research. Epidemiology (2016) 0.75
Double robust and efficient estimation of a prognostic model for events in the presence of dependent censoring. Biostatistics (2015) 0.75
Variable Selection for Confounder Control, Flexible Modeling and Collaborative Targeted Minimum Loss-Based Estimation in Causal Inference. Int J Biostat (2016) 0.75
Constructing inverse probability weights for marginal structural models. Am J Epidemiol (2008) 12.39
Comment: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data. Stat Sci (2007) 6.65
Super learner. Stat Appl Genet Mol Biol (2007) 5.73
Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data. Biometrika (2009) 2.61
Collaborative double robust targeted maximum likelihood estimation. Int J Biostat (2010) 2.30
Diagnosing and responding to violations in the positivity assumption. Stat Methods Med Res (2010) 2.29
Empirical efficiency maximization: improved locally efficient covariate adjustment in randomized experiments and survival analysis. Int J Biostat (2008) 2.06
A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome. Int J Biostat (2010) 1.89
An application of collaborative targeted maximum likelihood estimation in causal inference and genomics. Int J Biostat (2010) 1.48
Weighting regressions by propensity scores. Eval Rev (2008) 1.45
Targeted maximum likelihood estimation of the parameter of a marginal structural model. Int J Biostat (2010) 1.31
Using inverse weighting and predictive inference to estimate the effects of time-varying treatments on the discrete-time hazard. Stat Med (2002) 1.26
A note on overadjustment in inverse probability weighted estimation. Biometrika (2010) 0.95
Rejoinder to Tan. Int J Biostat (2008) 6.21
Referral to an extracorporeal membrane oxygenation center and mortality among patients with severe 2009 influenza A(H1N1). JAMA (2011) 4.24
Estimation of direct causal effects. Epidemiology (2006) 3.78
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
Survival ensembles. Biostatistics (2005) 2.88
Deletion/substitution/addition algorithm in learning with applications in genomics. Stat Appl Genet Mol Biol (2004) 2.77
History-adjusted marginal structural models for estimating time-varying effect modification. Am J Epidemiol (2007) 2.56
Multiple testing. Part I. Single-step procedures for control of general type I error rates. Stat Appl Genet Mol Biol (2004) 2.34
Collaborative double robust targeted maximum likelihood estimation. Int J Biostat (2010) 2.30
Diagnosing and responding to violations in the positivity assumption. Stat Methods Med Res (2010) 2.29
Long-term consequences of the delay between virologic failure of highly active antiretroviral therapy and regimen modification. AIDS (2008) 2.25
Multiple testing methods for ChIP-Chip high density oligonucleotide array data. J Comput Biol (2006) 2.08
Empirical efficiency maximization: improved locally efficient covariate adjustment in randomized experiments and survival analysis. Int J Biostat (2008) 2.06
Cemented, cementless, and hybrid prostheses for total hip replacement: cost effectiveness analysis. BMJ (2013) 2.04
A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome. Int J Biostat (2010) 1.89
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
Using regression models to analyze randomized trials: asymptotically valid hypothesis tests despite incorrectly specified models. Biometrics (2009) 1.77
Biomarker discovery using targeted maximum-likelihood estimation: application to the treatment of antiretroviral-resistant HIV infection. Stat Med (2009) 1.57
An application of collaborative targeted maximum likelihood estimation in causal inference and genomics. Int J Biostat (2010) 1.48
Collaborative targeted maximum likelihood for time to event data. Int J Biostat (2010) 1.41
Statistical methods for analyzing sequentially randomized trials. J Natl Cancer Inst (2007) 1.41
Simple optimal weighting of cases and controls in case-control studies. Int J Biostat (2008) 1.40
Targeted maximum likelihood estimation of the parameter of a marginal structural model. Int J Biostat (2010) 1.31
Supervised detection of conserved motifs in DNA sequences with cosmo. Stat Appl Genet Mol Biol (2007) 1.29
A practical illustration of the importance of realistic individualized treatment rules in causal inference. Electron J Stat (2007) 1.25
Targeted minimum loss based estimation of causal effects of multiple time point interventions. Int J Biostat (2012) 1.24
Simple, efficient estimators of treatment effects in randomized trials using generalized linear models to leverage baseline variables. Int J Biostat (2010) 1.23
Individualized treatment rules: generating candidate clinical trials. Stat Med (2007) 1.19
Super learning: an application to the prediction of HIV-1 drug resistance. Stat Appl Genet Mol Biol (2007) 1.18
Targeted maximum likelihood estimation of natural direct effects. Int J Biostat (2012) 1.13
Nonlinearity in demographic and behavioral determinants of morbidity. Health Serv Res (2003) 1.13
Regulatory motif finding by logic regression. Bioinformatics (2004) 1.12
Causal models and learning from data: integrating causal modeling and statistical estimation. Epidemiology (2014) 1.10
A causal inference approach for constructing transcriptional regulatory networks. Bioinformatics (2005) 1.08
A general implementation of TMLE for longitudinal data applied to causal inference in survival analysis. Int J Biostat (2012) 1.05
Analyzing sequentially randomized trials based on causal effect models for realistic individualized treatment rules. Stat Med (2008) 1.05
Supervised distance matrices. Stat Appl Genet Mol Biol (2008) 1.04
Empirical performance of a new user cohort method: lessons for developing a risk identification and analysis system. Drug Saf (2013) 0.99
Causal inference in epidemiological studies with strong confounding. Stat Med (2012) 0.98
Evaluating health care programs by combining cost with quality of life measures: a case study comparing capitation and fee for service. Health Serv Res (2008) 0.98
Data-adaptive test statistics for microarray data. Bioinformatics (2005) 0.97
Adaptive pair-matching in randomized trials with unbiased and efficient effect estimation. Stat Med (2014) 0.95
Statistical inference for simultaneous clustering of gene expression data. Math Biosci (2002) 0.94
A statistical method for constructing transcriptional regulatory networks using gene expression and sequence data. J Comput Biol (2005) 0.94
Evaluating treatment effectiveness in patient subgroups: a comparison of propensity score methods with an automated matching approach. Int J Biostat (2012) 0.92
Targeted estimation of nuisance parameters to obtain valid statistical inference. Int J Biostat (2014) 0.92
Targeted minimum loss based estimator that outperforms a given estimator. Int J Biostat (2012) 0.92
Super learner based conditional density estimation with application to marginal structural models. Int J Biostat (2011) 0.92
Multiple testing and data adaptive regression: an application to HIV-1 sequence data. Stat Appl Genet Mol Biol (2005) 0.92
Causal inference in longitudinal studies with history-restricted marginal structural models. Electron J Stat (2007) 0.92
A doubly robust censoring unbiased transformation. Int J Biostat (2007) 0.91
Cross-validated bagged prediction of survival. Stat Appl Genet Mol Biol (2006) 0.91
Identification and efficient estimation of the natural direct effect among the untreated. Biometrics (2013) 0.90
Assessing the causal effect of policies: an example using stochastic interventions. Int J Biostat (2013) 0.87
A targeted maximum likelihood estimator for two-stage designs. Int J Biostat (2011) 0.87
Sensitivity analysis for causal inference under unmeasured confounding and measurement error problems. Int J Biostat (2013) 0.86
Targeted learning in real-world comparative effectiveness research with time-varying interventions. Stat Med (2014) 0.83
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
Methods for estimating subgroup effects in cost-effectiveness analyses that use observational data. Med Decis Making (2012) 0.83
Second-Order Inference for the Mean of a Variable Missing at Random. Int J Biostat (2016) 0.83
Statistical issues and limitations in personalized medicine research with clinical trials. Int J Biostat (2012) 0.82
Supervised detection of regulatory motifs in DNA sequences. Stat Appl Genet Mol Biol (2003) 0.82
Statistical estimation of parameters in a disease transmission model: analysis of a Cryptosporidium outbreak. Stat Med (2002) 0.82
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
Finding Quantitative Trait Loci Genes with Collaborative Targeted Maximum Likelihood Learning. Stat Probab Lett (2011) 0.81
Optimal Spatial Prediction Using Ensemble Machine Learning. Int J Biostat (2016) 0.81
Virologic efficacy of boosted double versus boosted single protease inhibitor therapy. AIDS (2007) 0.81
An application of targeted maximum likelihood estimation to the meta-analysis of safety data. Biometrics (2013) 0.81
A comparison of methods to control type I errors in microarray studies. Stat Appl Genet Mol Biol (2007) 0.80
Targeted Learning of the Mean Outcome under an Optimal Dynamic Treatment Rule. J Causal Inference (2015) 0.80
Targeted maximum likelihood estimation of effect modification parameters in survival analysis. Int J Biostat (2011) 0.79
Issues of processing and multiple testing of SELDI-TOF MS proteomic data. Stat Appl Genet Mol Biol (2006) 0.79
Modified FDR controlling procedure for multi-stage analyses. Stat Appl Genet Mol Biol (2009) 0.79
Doubly Robust and Efficient Estimation of Marginal Structural Models for the Hazard Function. Int J Biostat (2016) 0.79
Targeted maximum likelihood estimation in safety analysis. J Clin Epidemiol (2013) 0.78
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
Causal Inference for a Population of Causally Connected Units. J Causal Inference (2014) 0.78
Antihypertensive medication use and change in kidney function in elderly adults: a marginal structural model analysis. Int J Biostat (2011) 0.78
Statistical Inference for Data Adaptive Target Parameters. Int J Biostat (2016) 0.77
Targeted maximum likelihood estimation for dynamic treatment regimes in sequentially randomized controlled trials. Int J Biostat (2012) 0.77
Characteristics of study design and elements that may contribute to the success of electronic safety monitoring systems. Pharmacoepidemiol Drug Saf (2014) 0.77
Petersen et al. Respond to "Effect Modification by Time-varying Covariates" Am J Epidemiol (2007) 0.77
Dimension reduction with gene expression data using targeted variable importance measurement. BMC Bioinformatics (2011) 0.77
Estimation of a non-parametric variable importance measure of a continuous exposure. Electron J Stat (2012) 0.77
Pathways to health: a framework for health-focused research and practice. Emerg Themes Epidemiol (2006) 0.76
Targeted estimation of binary variable importance measures with interval-censored outcomes. Int J Biostat (2014) 0.75
Costs of health care administration in the United States and Canada. N Engl J Med (2003) 0.75
Cross-Validated Bagged Learning. J Multivar Anal (2008) 0.75
Early prediction of median survival among a large AIDS surveillance cohort. BMC Public Health (2007) 0.75
Harnois et al.: Study of high-dose ursodeoxycholic acid. Am J Gastroenterol (2002) 0.75
One-Step Targeted Minimum Loss-based Estimation Based on Universal Least Favorable One-Dimensional Submodels. Int J Biostat (2016) 0.75
Testing the Relative Performance of Data Adaptive Prediction Algorithms: A Generalized Test of Conditional Risk Differences. Int J Biostat (2016) 0.75
Variable Selection for Confounder Control, Flexible Modeling and Collaborative Targeted Minimum Loss-Based Estimation in Causal Inference. Int J Biostat (2016) 0.75
Repeated measures semiparametric regression using targeted maximum likelihood methodology with application to transcription factor activity discovery. Stat Appl Genet Mol Biol (2011) 0.75
AUC-Maximizing Ensembles through Metalearning. Int J Biostat (2016) 0.75
Comparison of targeted maximum likelihood and shrinkage estimators of parameters in gene networks. Stat Appl Genet Mol Biol (2012) 0.75
Analysis of the effect of occupational exposure to asbestos based on threshold regression modeling of case-control data. Biostatistics (2013) 0.75
Special Issue on Data-Adaptive Statistical Inference. Int J Biostat (2016) 0.75