SelectedWorks of Sherri Rose
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Sherri Rose
Johns Hopkins Bloomberg School of Public Health
NSF Postdoctoral Fellow
Curriculum Vitae [PDF]
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Targeted Learning Book website
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Targeted Learning: Causal Inference for Observational and Experimental Data
(with Mark J. van der Laan) (2011)
Articles
Link
Finding quantitative trait loci genes with collaborative targeted maximum likelihood learning
(with Hui Wang and Mark J. van der Laan),
Statistics & Probability Letters
(2011)
PDF
A Targeted Maximum Likelihood Estimator for Two-Stage Designs
(with Mark J. van der Laan),
The International Journal of Biostatistics
(2011)
Link
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)
Link
Rose et al. Respond to “G-Computation and Standardization in Epidemiology”
(with Jonathan M. Snowden and Kathleen M. Mortimer),
American Journal of Epidemiology
(2011)
Link
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)
Link
Effects of PON polymorphisms and haplotypes on molecular phenotype in Mexican-American mothers and children
(with Karen Huen, Lisa Barcellos, Kenneth Beckman, Brenda Eskanazi, and Nina Holland),
Environmental and Molecular Mutagenesis
(2010)
PDF
Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation
(with Mark J. van der Laan),
The International Journal of Biostatistics
(2009)
PDF
Simple Optimal Weighting of Cases and Controls in Case-Control Studies
(with Mark J. van der Laan),
The International Journal of Biostatistics
(2008)
Link
Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae
(with Shawn Cokus, David Haynor, Niels Grønbech-Jensen, and Matteo Pellegrini),
BMC Bioinformatics
(2006)
PDF
Ensuring the comparability of comparison groups: is randomization enough?
(with Vance Berger),
Controlled Clinical Trials
(2004)
Popular Press
Link
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Unpublished Papers
PDF
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)
PDF
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)
PDF
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)