This chapter describes and executes several survival analysis methods using the main Python frameworks (i.e., Lifelines and PySpark). It begins by explaining the underlying concept behind the Cox Proportional Hazards model. It then introduces the accelerated failure time method.
Survival methods are common in the manufacturing, insurance, and medical science fields. They are convenient for properly assessing risk when an independent investigation is ...
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