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Introduction to survival analysis — lifelines 0.27.7 documentation

lifelines.readthedocs.io · 1,356 words · saved by 1 readers

Traditionally, survival analysis was developed to measure lifespans of individuals. An actuary or health professional would ask questions like “how long does this population live for?”, and answer it using survival analysis. For example, the population may be a nation’s population (for actuaries), or a population stricken by a disease (in the medical professional’s case). Traditionally, sort of a morbid subject. But survival analysis can be applied to not only births and deaths, but any duration. Medical professionals might be interested in the time between childbirths, where a birth in this case is the event of having a child, and a death is becoming pregnant again! (obviously, we are loose with our definitions of birth and death) Another example is users subscribing to a service: a birth is a user who joins the service, and a death is when the user leaves the service. At the time you want to make inferences about durations, it is possible that not all the death events have occurred y

Introduction to survival analysis - lifelines 0.30.3 documentation Introduction to survival analysis View page source Introduction to survival analysis ¶ Applications ¶ Traditionally, survival analysis was developed to measure lifespans of individuals. An actuary or health professional would ask questions like “how long does this population live for?”, and answer it using survival analysis. For example, the population may be a nation’s population (for actuaries), or a population stricken by a disease (in the medical professional’s case). Traditionally, sort of a morbid subject. But survival an

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