Survival Analysis with Python

Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis. It then delves into

• Parametric models with coverage of

• Concept of maximum likelihood estimate (MLE) of a probability distribution parameter
• MLE of the survival function
• Common probability distributions and their analysis
• Analysis of exponential distribution as a survival function
• Analysis of Weibull distribution as a survival function
• Derivation of Gumbel distribution as