Susan Gruber is a Postdoctoral Research Fellow at the Harvard School of Public Health under the mentorship of Miguel Hernán and Jamie Robins. She holds a Ph.D. in Biostatistics from UC Berkeley, where her work with advisor Mark van der Laan focused on double robust targeted maximum likelihood methods for estimating causal effects. Susan also holds an MPH in Biostatistics and Epidemiology, and an MS in Computer Science.
Articles
Targeted Minimum Loss Based Estimation of a Causal Effect on an Outcome with Known Conditional Bounds (with Mark J. van der Laan), The International Journal of Biostatistics (2012)
This paper presents a targeted minimum loss based estimator (TMLE) that incorporates known conditional bounds...
Targeted Minimum Loss Based Estimation of Causal Effects of Multiple Time Point Interventions (with Mark J. van der Laan), The International Journal of Biostatistics (2012)
We consider estimation of the effect of a multiple time point intervention on an outcome...
Consistent Causal Effect Estimation Under Dual Misspecification and Implications for Confounder Selection Procedures (with Mark van der Laan), Statistical Methods in Medical Research (2012)
In a previously published article in this journal, Vansteeland et al. [Stat Methods Med Res....
Application of Targeted Maximum Likelihood Estimation to the Meta-Analysis of Safety Data (with Mark J. van der Laan), Biometrics (in press) (2012)
Safety analysis to estimate the effect of a treatment on an adverse event poses a...
Targeted Minimum Loss Based Estimator that Outperforms a Given Estimator (with Mark J. van der Laan), The International Journal of Biostatistics (2012)
Targeted minimum loss based estimation (TMLE) provides a template for the construction of semiparametric locally...
Technical Reports
Targeted Minimum Loss Based Estimation of an Intervention Specific Mean Outcome (with Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2011)
Targeted minimum loss based estimation (TMLE) provides a template for the construction of semiparametric locally...
Targeted Minimum Loss Based Estimator that Outperforms a given Estimator (with Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2011)
Targeted minimum loss based estimation (TMLE) provides a template for the construction of semiparametric locally...
The Relative Performance of Targeted Maximum Likelihood Estimators (with Kristin E. Porter, Mark J. van der Laan, and Jasjeet S. Sekhon), U.C. Berkeley Division of Biostatistics Working Paper Series (2011)
There is an active debate in the literature on censored data about the relative performance...
tmle: An R Package for Targeted Maximum Likelihood Estimation (with Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2011)
Targeted maximum likelihood estimation (TMLE) represents an approach for construction of an efficient double-robust semi-parametric...
Diagnosing and Responding to Violations in the Positivity Assumption (with Maya L. Petersen, Kristin Porter, Yue Wang, and Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2010)
The assumption of positivity or experimental treatment assignment requires that observed treatment levels vary within...
Software
bias.pboot (with Kristin Porter, Maya Petersen, Yue Wang, and Mark J. van der Laan) (2010)
bias.pboot is R software for diagnosing positivity bias using a parametric bootstrap
ctmle: an R package for collaborative targeted maximum likelihood estimation (with Mark J. van der Laan) (2010)
ctmle provides R source code for estimating an additive point treatment effect using collaborative targeted...
tmle: an R package for targeted maximum likelihood estimation (with Mark J. van der Laan) (2010)
Targeted maximum likelihood estimation of a point treatment effect on a binary or continuous outcome
tmleLite: A simplified R package for targeted maximum likelihood estimation (with Mark J. van der Laan) (2009)
tmleLite provides software to estimate the additive effect of a binary point treatment on a...