ICC_ITS

When detecting HCV outbreaks, HLM will alert you if the current quarter’s case count is much higher than the average of previous quarters, without adjusting for changes in population size or time trends. In contrast, NB regression can model expected case counts based on factors such as time, region, population, and seasonality, providing a more accurate expected count along with confidence intervals.

Dentro de este ejercicio podremos encontrar una replica sobre el ejercicios de Rpubs.

2025 Nashville Results

Assignment

Este documento explica la distribución normal , una de las distribuciones de probabilidad más importantes en estadística, también conocida como distribución de Gauss o gaussiana . Se presenta su definición, propiedades y aplicaciones principales, acompañados de ejercicios prácticos que permiten comprender su uso en la resolución de problemas estadísticos

This analysis examines a large dataset of political news articles to develop automated classification methods for identifying Trump-related and Fox News-related content. The dataset spans multiple years of political coverage during a period of significant media activity and political events. This work builds upon research in automated news categorization and applies scalable text processing techniques to handle large-scale news corpora. The methodology demonstrates efficient processing of substantial datasets while maintaining classification accuracy for media bias detection and political sentiment tracking.