Rebecca A Hubbard

Associate Professor of Biostatistics

Department of Biostatistics, Epidemiology & Informatics

Perelman School of Medicine. University of Pennsylvania

http://www.dbei.med.upenn.edu/bio/rebecca-hubbard-phd

Hubbard's research focuses on development and application of statistical methods for analyses using electronic health records and claims data. Her work has been applied to studies of cancer screening, aging and dementia, pharmacoepidemiology, and health services research. Her recent publications include “Bayesian latent class approach for EHR-based phenotyping.” Statistics in Medicine 38: 74-87 and “Inclusion of unstructured clinical text improves early prediction of death or prolonged ICU stay.” Critical Care Medicine 46: 1125-1132.

Associate Professor of Biostatistics

Department of Biostatistics, Epidemiology & Informatics

Perelman School of Medicine. University of Pennsylvania

http://www.dbei.med.upenn.edu/bio/rebecca-hubbard-phd

Hubbard's research focuses on development and application of statistical methods for analyses using electronic health records and claims data. Her work has been applied to studies of cancer screening, aging and dementia, pharmacoepidemiology, and health services research. Her recent publications include “Bayesian latent class approach for EHR-based phenotyping.” Statistics in Medicine 38: 74-87 and “Inclusion of unstructured clinical text improves early prediction of death or prolonged ICU stay.” Critical Care Medicine 46: 1125-1132.