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Survival Analysis - STA4808

Honours Year module NQF level: 8 Credits: 12
Module presented in English Module presented online
Purpose: About this module: This module explores different aspects of survival analysis as data analysis methodology. The presentation is practical and accessible with statistical software enabling the learner to explore and analyze a wide spectrum of problems on time to event data. Students are prepared for the workplace as Survival Analysis has a multitude of applications in the fields of health, engineering, economics, biology and the physical sciences.Abbreviated contents: Students learn to describe the distribution of failure times (time to event), analysis times and Hazard models (Parametric and Semi-parametric), Censoring, truncation and the recording of survival data. Nonparametric analysis of survival data, the Cox proportional hazards model, building a Cox proportional hazards model, diagnostics to check model for misspecification, outliers, influential points and most importantly, the proportional hazards assumption fall within the scope of this module contents. This module makes extensive use of computer statistical software and hence a student must have access to a computer.