Browse by Subject

Causal Inference

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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)

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)

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

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Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation (with Mark J. van der Laan), The International Journal of Biostatistics (2009)

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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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Simple Optimal Weighting of Cases and Controls in Case-Control Studies (with Mark J. van der Laan), The International Journal of Biostatistics (2008)

Prediction

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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)

Biology

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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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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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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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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)

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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)

Clinical Trials

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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)

PDF

Ensuring the comparability of comparison groups: is randomization enough? (with Vance Berger), Controlled Clinical Trials (2004)

Media Publications

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)

Epidemiology

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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)

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)

Statistical Models

PDF

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

Statistical Theory and Methods

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

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

SelectedWorks of Sherri Rose

Sherri Rose

Johns Hopkins Bloomberg School of Public Health

Links

Browse by Subject

Causal Inference

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

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)

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

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

Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation (with Mark J. van der Laan), The International Journal of Biostatistics (2009)

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)

Simple Optimal Weighting of Cases and Controls in Case-Control Studies (with Mark J. van der Laan), The International Journal of Biostatistics (2008)

Prediction

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)

Biology

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)

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

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)

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)

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)

Clinical Trials

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

Ensuring the comparability of comparison groups: is randomization enough? (with Vance Berger), Controlled Clinical Trials (2004)

Media Publications

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)

Epidemiology

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

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)

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

Statistical Models

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

Statistical Theory and Methods

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)

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

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