Published in J Causal Inference on June 18, 2014
Small-Magnitude Effect Sizes in Epigenetic End Points are Important in Children's Environmental Health Studies: The Children's Environmental Health and Disease Prevention Research Center's Epigenetics Working Group. Environ Health Perspect (2017) 0.90
EFFECT OF BREASTFEEDING ON GASTROINTESTINAL INFECTION IN INFANTS: A TARGETED MAXIMUM LIKELIHOOD APPROACH FOR CLUSTERED LONGITUDINAL DATA. Ann Appl Stat (2014) 0.87
Observational research on NCDs in HIV-positive populations: conceptual and methodological considerations. J Acquir Immune Defic Syndr (2014) 0.87
Discussion of Identification, Estimation and Approximation of Risk under Interventions that Depend on the Natural Value of Treatment Using Observational Data, by Jessica Young, Miguel Hernán, and James Robins. J Causal Inference (2014) 0.80
Targeted Learning of the Mean Outcome under an Optimal Dynamic Treatment Rule. J Causal Inference (2015) 0.80
Doubly Robust and Efficient Estimation of Marginal Structural Models for the Hazard Function. Int J Biostat (2016) 0.79
Estimating population treatment effects from a survey subsample. Am J Epidemiol (2014) 0.78
Double robust and efficient estimation of a prognostic model for events in the presence of dependent censoring. Biostatistics (2015) 0.75
Genetic risk and longitudinal disease activity in systemic lupus erythematosus using targeted maximum likelihood estimation. Genes Immun (2016) 0.75
Marginal structural models and causal inference in epidemiology. Epidemiology (2000) 33.54
Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology (2000) 15.40
Doubly robust estimation in missing data and causal inference models. Biometrics (2005) 9.67
Super learner. Stat Appl Genet Mol Biol (2007) 5.73
Marginal Mean Models for Dynamic Regimes. J Am Stat Assoc (2001) 5.48
Comparison of dynamic treatment regimes via inverse probability weighting. Basic Clin Pharmacol Toxicol (2006) 5.25
Estimation and extrapolation of optimal treatment and testing strategies. Stat Med (2008) 4.57
Causal effect models for realistic individualized treatment and intention to treat rules. Int J Biostat (2007) 2.97
When to start treatment? A systematic approach to the comparison of dynamic regimes using observational data. Int J Biostat (2010) 2.50
Intervening on risk factors for coronary heart disease: an application of the parametric g-formula. Int J Epidemiol (2009) 2.48
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
Comparative effectiveness of dynamic treatment regimes: an application of the parametric g-formula. Stat Biosci (2011) 1.73
Targeted maximum likelihood based causal inference: Part II. Int J Biostat (2010) 1.34
The causal effect of switching to second-line ART in programmes without access to routine viral load monitoring. AIDS (2012) 1.32
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 causal framework for understanding the effect of losses to follow-up on epidemiologic analyses in clinic-based cohorts: the case of HIV-infected patients on antiretroviral therapy in Africa. Am J Epidemiol (2012) 1.24
Targeted minimum loss based estimation of causal effects of multiple time point interventions. Int J Biostat (2012) 1.24
Non-ignorable loss to follow-up: correcting mortality estimates based on additional outcome ascertainment. Stat Med (2013) 1.09
A general implementation of TMLE for longitudinal data applied to causal inference in survival analysis. Int J Biostat (2012) 1.05
When to start antiretroviral therapy in children aged 2-5 years: a collaborative causal modelling analysis of cohort studies from southern Africa. PLoS Med (2013) 0.89
Structural Nested Cumulative Failure Time Models to Estimate the Effects of Interventions. J Am Stat Assoc (2012) 0.87
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
The cost-effectiveness of monitoring strategies for antiretroviral therapy of HIV infected patients in resource-limited settings: software tool. PLoS One (2015) 0.89
Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching. Stat Methods Med Res (2014) 0.84
Tuberculosis in Cape Town: An age-structured transmission model. Epidemics (2015) 0.79
Anti-V3/Glycan and Anti-MPER Neutralizing Antibodies, but Not Anti-V2/Glycan Site Antibodies, Are Strongly Associated with Greater Anti-HIV-1 Neutralization Breadth and Potency. J Virol (2015) 0.78