Survival Analysis in Python [Time to event analysis]

Publicado el: 16 octubre 2021
en el canal de: The Researchers' Guide

24,110

370

Survival analysis is a branch of statistics for analysing the expected duration of time until one or more events occur. This topic is called reliability analysis in engineering, duration analysis or duration modelling or time to event analysis in economics, and event history analysis in sociology. Survival analysis attempts to answer the following questions:

Proportion of population surviving up to a given time
Rate at which they are dying
How predictors could explain the time to event analysis

There are plenty of application scenarios, where we could utilize survival analysis. Some are described as follows:

After diagnose with cancer when a patent would die
Hospital readmission duration after a major heart surgery
When would Tesla car battery permanently die/fail
Waiting time of pedestrian after red (do-not walk) phase arrival at intersection
After seeing ads when a person would purchase the product
When an employee would leave a company (churn)

Reading resources
Blog1: https://sphweb.bumc.bu.edu/otlt/mph-m...

Blog2: https://boostedml.com/2018/11/when-sh...

Survival analysis concept videos
MarinStatsLectures-R Programming & Statistics
• Survival Analysis Part 1 | What is Censoring?

Zedstatistics
• Introduction to Survival Analysis [1/8]

En esta página del sitio puede ver el video en línea Survival Analysis in Python [Time to event analysis] de Duración hora minuto segunda en buena calidad , que subió el usuario The Researchers' Guide 16 octubre 2021, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 24,110 veces y le gustó 370 a los espectadores. Disfruta viendo!

505