Survival Data Analysis

The Purpose of this article is to provide the educational researcher with an overview of common survival data analysis models, with a particular emphasis on their application with longitudinal outcomes. The first section of the paper underscores limitations associated with using common regression modles to analyze time to event data and provides a rational for why survival data analysis is preferable with longitudinal data sets. Furthermore, a brief history of survival data analysis and basic terminology are provided. The main section of the paper consists of describing common nonparametric, semi-parametric, and parametric models for continuous and discrete data, with computational examples. The final section of the chapter briefly outlines common survival data analysis software that can be used by the practitioner.

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