Survival Analysis: A Self-Learning Text

Key Points

• This text aims to introduce essential concepts and methods of survival analysis for statistical evaluation.
• Describes Kaplan-Meier survival curves and log-rank test for estimating survival functions.
• Explains the Cox proportional hazards model and its assumptions along with parametric and recurrent events models.
• Covers competing risks analysis and evaluation of time-dependent variables.
• Highlights the importance of appropriate model selection for accurate survival predictions.
• Describes methods for evaluating model assumptions that impact survival outcomes.