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One or more keywords matched the following properties of Polley, Eric
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keywords Data Science
overview Director, Biostatistics Laboratory Eric Polley, PhD is an Associate Professor in the Department of Public Health Sciences at The University of Chicago where he is the faculty director for the Data Science concentration in the Master of Public Health program. Dr. Polley was previously an Assistant Professor of Biostatistics in the Department of Quantitative Health Sciences at Mayo Clinic (2015-2021) and a mathematical statistician in the Biometric Research Branch at the U.S. National Cancer Institute (2012-2015). Dr. Polley received his PhD in biostatistics from the University of California, Berkeley in 2010. With Mark van der Laan, they developed the Super Learner ensemble prediction methodology. His research area involves the development and evaluation of prediction methods, innovative methods for diagnostic and prognostic prediction, and precision medicine clinical trial design.
One or more keywords matched the following items that are connected to Polley, Eric
Item TypeName
Concept Databases, Genetic
Concept Data Interpretation, Statistical
Academic Article Super Learner for Survival Data Prediction.
Academic Article Association Between Inherited Germline Mutations in Cancer Predisposition Genes and Risk of Pancreatic Cancer.
Academic Article Strong functional data for pathogenicity or neutrality classify BRCA2 DNA-binding-domain variants of uncertain significance.
Academic Article Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
Academic Article Temporal shifts in the skin microbiome associated with disease flares and treatment in children with atopic dermatitis.
Academic Article Testing the Relative Performance of Data Adaptive Prediction Algorithms: A Generalized Test of Conditional Risk Differences.
Academic Article Random forests for genetic association studies.
Academic Article Prediction of Invasive Breast Cancer Using Mass Characteristic Frequency and Elasticity in Correlation with Prognostic Histologic Features and Immunohistochemical Biomarkers.
Academic Article Emulating the GRADE trial using real world data: retrospective comparative effectiveness study.
Academic Article Comparative effectiveness of second line glucose lowering drug treatments using real world data: emulation of a target trial.
Academic Article Assessing the use of observational methods and real-world data to emulate ongoing randomized controlled trials.
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