About
Marco Geraci is a Professor at the Department of Methods and Models for Economy, Territory and Finance at Sapienza University of Rome. He teaches courses such as Statistics for Health Economics and Computational Tools for Finance.
His research focuses on Statistical Methods in Health Sciences, including Quantile Inference, Random-Effects Models, Multivariate Statistics, and Missing Data Analysis. He also specializes in Accelerometer Data, Physical Activity, and Pediatric Oncology.
His recent publications emphasize Quantile Regression applications in Public Health, Environmental Science, and Health Economics. Methodological contributions include Directional Quantile Classifiers, Functional Quantile Regression, and Laplace Distribution Projections. Themes span Biostatistics, Surgical Safety, and Maternal/Child Health Disparities.
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