This project conducts a comprehensive survival analysis of a rats dataset to investigate factors influencing survival time. It applies both non-parametric and parametric methods, including Kaplan–Meier estimation, Cox proportional hazards models, and accelerated failure time (AFT) models. The analysis evaluates the effects of treatment and sex on survival while accounting for clustering within litters, and compares different modeling approaches to identify the most appropriate framework for describing survival patterns.

Car MPG Predictor Pitch

3_SEMANA_3_SESIÓN_2_SUPUESTOS_Y_PRUEBAS_POST_HOC

3_SEMANA_3_SESIÓN_2_SUPUESTOS_Y_PRUEBAS_POST_HOC

Praktikum mengenai ketidakpastian estimasi dan contoh studi kasusnya

rawr

3_SEMANA_3_SESIÓN_1_ANOVA_e_Interpretación_Formal

An analysis of how different types of feeds impact growth and weights of chicks.