Articles
Optimizing Randomized Trial Designs to Distinguish which Subpopulations Benefit from Treatment (with Mark J. van der Laan), Biometrika (2011)
It is a challenge to evaluate experimental treatments where it is suspected that the treatment...
Simple, Efficient Estimators of Treatment Effects in Randomized Trials Using Generalized Linear Models to Leverage Baseline Variables (with Mark J. van der Laan), The International Journal of Biostatistics (2010)
Models, such as logistic regression and Poisson regression models, are often used to estimate treatment...
The Impact of Secondary Condom Interventions on the Interpretation of Results from HIV Prevention Trials (with Stephen Shiboski and Nicholas P. Jewell), Statistical Communications in Infectious Diseases (2010)
Given the recent failure of a number of randomized trials to demonstrate effectiveness of proposed...
Targeted Maximum Likelihood Estimation of the Parameter of a Marginal Structural Model (with Mark J. van der Laan), International Journal of Biostatistics (2010)
Targeted maximum likelihood estimation is a versatile tool for estimating parameters in semiparametric and nonparametric...
Analyzing Direct Effects in Randomized Trials with Secondary Interventions: An Application to HIV Prevention Trials (with Nicholas P. Jewell, Mark J. van der Laan, Steven Shiboski, Ariane van der Straten, and Nancy Padian), Journal of the Royal Statistical Society, Series A, (Statistics in Society) (2009)
The `Methods for improving reproductive health in Africa' trial is a recently completed randomized trial...
Unpublished Papers
Optimizing Randomized Trial Designs to Distinguish which Subpopulations Benefit from Treatment (with Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2010)
It is a challenge to evaluate experimental treatments where it is suspected that the treatment...
Simple Examples of Estimating Causal Effects Using Targeted Maximum Likelihood Estimation (with Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2010)
We present a brief overview of targeted maximum likelihood for estimating the causal effect of...
Targeted Maximum Likelihood Estimation of the Parameter of a Marginal Structural Model (with Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2010)
We work through an example applying targeted maximum likelihood methodology to estimate the parameter of...
Confidence Intervals for the Population Mean Tailored to Small Sample Sizes, with Applications to Survey Sampling (with Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2008)
The validity of standard confidence intervals constructed in survey sampling is based on the central...
Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specified Models (with Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2008)
Regression models are often used to test for cause-effect relationships from data collected in randomized...