Sherri Rose is an NSF Mathematical Sciences Postdoctoral Research Fellow in the
Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. Her
research interests include causal and statistical inference, machine learning, and
prediction. Her Web site is www.drsherrirose.com. 

The new book "Targeted Learning: Causal Inference for Observational and Experimental
Data" by Mark J. van der Laan and Sherri Rose has been released as part of the
Springer Series in Statistics, see www.targetedlearningbook.com.

Books

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Targeted Learning: Causal Inference for Observational and Experimental Data (with Mark J. van der Laan) (2011)
 

Articles

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Finding quantitative trait loci genes with collaborative targeted maximum likelihood learning (with Hui Wang and Mark J. van der Laan), Statistics & Probability Letters (2011)
 

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A Targeted Maximum Likelihood Estimator for Two-Stage Designs (with Mark J. van der Laan), The International Journal of Biostatistics (2011)
 

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Implementation of G-Computation on a Simulated Data Set: Demonstration of a Causal Inference Technique (with Jonathan M. Snowden and Kathleen M. Mortimer), American Journal of Epidemiology (2011)
 

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Rose et al. Respond to “G-Computation and Standardization in Epidemiology” (with Jonathan M. Snowden and Kathleen M. Mortimer), American Journal of Epidemiology (2011)
 

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Profiling Cys34 Adducts of Human Serum Albumin by Fixed-Step Selected Reaction Monitoring (with He Li, Hasmik Grigoryan, William E. Funk, Sixin Samantha Lu, Evan R. Williams, and Stephen M. Rappaport), Molecular & Cellular Proteomics (2010)
 

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Popular Press

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Statistics Ready for a Revolution: Next Generation of Statisticians Must Build Tools for Massive Data Sets (with Mark J. van der Laan), Amstat News (2010)
 

Unpublished Papers

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Targeted Methods for Finding Quantitative Trait Loci (with Hui Wang and Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2011)
 

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Readings in Targeted Maximum Likelihood Estimation (with Mark J. van der Laan and Susan Gruber), U.C. Berkeley Division of Biostatistics Working Paper Series (2009)
 

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A Note on Risk Prediction for Case-Control Studies (with Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2008)