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Modello Statistico per la Previsione del Peso Neonatale
Progetto di analisi statistica e modellizzazione predittiva finalizzato alla previsione del peso neonatale alla nascita mediante tecniche di regressione lineare multipla. L’analisi include statistica descrittiva, test d’ipotesi, selezione del modello tramite criterio BIC, diagnostica dei residui, valutazione delle prestazioni predittive e visualizzazione grafica dei risultati utilizzando il linguaggio R
Predicting 30-Day Hospital Readmission — A Lasso Risk Model with a Live Calculator
ALY6015 Module 5 final project. Lasso-regularized logistic regression on 68,061 diabetic inpatients (Strack et al. 2014), with bootstrap CIs, decision curve analysis, subgroup audit, and a live in-browser risk calculator powered by Ridge coefficients fit in the document.
INSURANCE FRAUD ANALYTICS - MOTOR CLAIMS EDA
Insurance Fraud Analytics (RStudio/R) Exploratory analysis of 1,000 Irish motor insurance claims using tidyverse, ggplot2, and recipes preprocessing pipeline to identify behavioural and demographic fraud patterns. 10% fraud prevalence with class imbalance addressed for downstream modelling.
ARIMA
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Development of the gut microbiota throughout the first year of life and its association with socio-emotional development into childhood
Development of the gut microbiota throughout the first year of life and its association with socio-emotional development into childhood Bloemendaal M., Mulder D., Gudden J., Heikamp-de Jong I., Ioannou A., Belzer C., Emile Natasha E., Edwin Thanarajah S., Aatsinki A.-K., van Gelder M.M.H.J., Arias Vasquez A. DOI: 10.1159/000552189
Mann Whitney