Articles

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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...

 

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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...

 

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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...

 

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Confidence Intervals for the Population Mean Tailored to Small Sample Sizes, with Applications to Survey Sampling (with Mark J. van der Laan), The International Journal of Biostatistics (2009)

The validity of standard confidence intervals constructed in survey sampling is based on the central...

 

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The Risk of Virologic Failure Decreases with Duration of HIV Suppression, at Greater than 50% Adherence to Antiretroviral Therapy. (with Steven G. Deeks, Mark J. van der Laan, and David R. Bangsberg), PLoS ONE (2009)

Background

We hypothesized that the percent adherence to antiretroviral therapy necessary to maintain HIV suppression...

 

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Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specified Models (with Mark J. van der Laan), Biometrics (2009)

Regression models are often used to test for cause-effect relationships from data collected in randomized...

 

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Diaphragm and lubricant gel for prevention of HIV acquisition in southern African women: a randomised controlled trial (with Nancy Padian, Ariane van der Straten, Gita Ramjee, Tsungai Chipato, Guy de Bruyn, Kelly Blanchard, Stephen Shiboski, Elizabeth T. Montgomery, Heidi Fancher, Helen Cheng, Mark J. van der Laan, Nicholas Jewell, and James McIntyre), The Lancet (2007)

Background Female-controlled methods of HIV prevention are urgently needed. We assessed the effect of provision...

 

Unpublished Papers

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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...

 

PDF

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...

 

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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...

 

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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...

 

PDF

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...

 

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Detailed Version: Analyzing Direct Effects in Randomized Trials with Secondary Interventions: An Application to HIV Prevention Trials (with Nicholas P. Jewell, Mark J. van der Laan, Stephen Shiboski, Ariane van der Straten, and Nancy Padian), U.C. Berkeley Division of Biostatistics Working Paper Series (2007)

This is the detailed technical report that accompanies the paper “Analyzing Direct Effects in Randomized...

 
Analyzing Direct Effects in Randomized Trials with Secondary Interventions (with Nicholas P. Jewell, Mark J. van dr Laan, Stephen Shiboski, Ariane van der Straten, and Nancy Padian), Nicholas P. Jewell (2007)

The Methods for Improving Reproductive Health in Africa (MIRA) trial is a recently completed randomized...