Survival of the Fittest

Topics: survival analysis. Event history analysis. Failure and churn analysis. Parametric, semiparametric, and nonparametric models: proportional hazards, accelerated failure time, exponential, piecewise exponential, Weibull, lognormal and Cox regression. Customer churn analysis. Censored and truncated data. Limited dependent variable and Tobit models.

Code: R / Tool: RStudio

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Limited dependent variable

Dealing with censored and truncated datasets is often the case in survival analysis.

Consult the mini-case in a new tab (Show/Hide All Code in the case upper-right corner).

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Survival analysis

Survival analysis in biostatistics, medical science, and epidemiology, reliability analysis in engineering, duration models within economics, churn models within marketing, event history analysis within sociology, demography, psychology and political science. Without applying all the concepts of survival analysis, the case provides an overview of all the techniques: non-parametric, semi-parametric, parametric models, advanced techniques, a recapitulation section and a terminology section.

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The relationship between churn and Customer Lifetime Value (CLV)

Survival analysis applied to customer churn.

Consult the Tufte report in a new tab. A Tufte template is a clean format for written presentations.

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