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Current Epidemiology Reports|July 5, 2022
Machine Learning Approaches for Measuring Neighborhood Environments in Epidemiologic StudiesAndrew G Rundle, Michael D M Bader, Stephen J Mooney
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|November 5, 2025
Can We Interpret Analyses of Etiologic Heterogeneity When Molecular Markers Are Used to Classify Tumors?Stephen J Mooney, Andrew G Rundle
American Journal of Epidemiology|August 15, 2014
Validity of an ecometric neighborhood physical disorder measure constructed by virtual street auditStephen J Mooney, Michael D M Bader, Gina S Lovasi, et al.
Obesity Research & Clinical Practice|December 17, 2013
Comparison of anthropometric and body composition measures as predictors of components of the metabolic syndrome in a clinical settingStephen J Mooney, Aileen Baecker, Andrew G Rundle
Social Science & Medicine (1982)|June 28, 2019
Disparities in trajectories of changes in the unhealthy food environment in New York City: A latent class growth analysis, 1990-2010Nicolas Berger, Tanya K Kaufman, Michael D M Bader, et al.
Epidemiology (Cambridge, Mass.)|May 13, 2014
There goes the neighborhood effect: bias owing to nondifferential measurement error in the construction of neighborhood contextual measuresStephen J Mooney, Catherine A Richards, Andrew G Rundle
Current Epidemiology Reports|February 13, 2023
Registry Data in Injury Research: Study Designs and InterpretationStephen J Mooney, Andrew G Rundle, Christopher N Morrison
Current Epidemiology Reports|May 8, 2023
Causal Inference with Case-Only Studies in Injury Epidemiology ResearchAndrew G Rundle, Michael D M Bader, Charles C Branas, et al.
Journal of Maps|August 12, 2025
Using SaTScan to identify and map nightlife areas in Philadelphia, PAEliza W Kinsey, Kathryn M Neckerman, James W Quinn, et al.
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