/Survival-Analysis

Survival analysis and risk analysis on employee attrition i R and Python

Primary LanguageJupyter Notebook

Survival-Analysis

   “A single death is a tragedy; a million deaths is a statistic.”
                                                                        _______ Joseph Stalin

You can find "Time Series Analysis" here

Readme file for this repo is in progress, will be uploaded soon.

Content:

  • [a] Introduction

  • [b] What is Survival Analysis

  • [c] Practical Applications of Survival Analysis

  • [d] Difference from Linear Regression analysis

  • [e] Prerequisite

    • [a] Sencoring
    • [b] Trancation
    • [c] Survival Function
    • [d] Hazard Function
    • [e] Cumulative Hazard Function

  • [f] Survival Models

    • [a] Non-parametric model: Kaplan-Meier curve
    • [b] The log-rank test
    • [c] Semi-parametric model: Cox proportional hazards regression
    • [d] Parametric models

  • [g] About Dataset

    • [a] Feature description
    • [b] Summary statistics

  • [p] References

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