A short course on survival analysis applied to the financial industry
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01-about.Rmd
02_intro.Rmd
03_kaplan_meier.Rmd
04_cox_model.Rmd
05-joint_model.Rmd
06-condsurv.Rmd
07-clustcurv.Rmd
08-appendix.Rmd
09-references.Rmd
DESCRIPTION
LICENSE
README.md
_bookdown.yml
_build.sh
_deploy.sh
_output.yml
a-short-course-on-survival-analysis-applied-to-the-financial-industry.html
contributions.html
index.Rmd
license.html
outline.html
overview.html
preface.html
sa_financial.Rproj
syllabus.html

README.md

A short course on Survival Analysis applied to the Financial Industry

License

Overview

This book is designed to provide a guide for a short course on Survival Analysis, particularly related to the financial field.

Outline

The book is available at https://bookdown.org/sestelo/sa_financial.

Here is a view of the outline:

  1. Introduction
    1. What is Survival Analysis?
    2. Censoring
    3. Some Notation
    4. Survival and Hazard functions
    5. Relation between functions
    6. Some common distridution
  2. Kaplan-Meier estimator
    1. Estimating survival
    2. Pointwise confidence interval
    3. Comparing survival curves
    4. Pros and cons of the Kaplan-Meier estimator
  3. The Cox Proportional Hazards Model
    1. The semiparametric model
    2. Estimation
    3. Computing the Hazard Ratio
    4. Hypothesis testing
    5. Adjusting Survival Curves
    6. How to evaluate the PH assumption?
    7. Non-Proportional Hazards… and now what?
    8. Why Cox PH model is so popular? (pros of the model)
    9. Bonus track 1: Additive Cox model
    10. Bonus track 2: Machine Learning for estimating the Cox PH model
  4. Joint Models for Longitudinal and Time-to-Event Data
    1. Linear Mixed Models
    2. Estimation of the Joint Model
    3. The JM package
  5. Conditional Survival with condSURV
    1. Introduction
    2. Notation
    3. Estimation of the conditional survival
    4. The condSURV package
  6. Spoiler!!
    1. Introduction
    2. Algorithm
    3. Aplication to real data

Contributions

Of course, you are welcome to contribute to these notes. You can fork the repository, make your changes (or just edit a file in this repository using the `Edit button on Github if the change is simple enough) and open a pull request. I will try to be as responsive as possible in reviewing and accepting pull requests. Appreciate your contributions very much!

License

All material in this repository is licensed under CC BY-NC-SA 4.0.