# Survival Analysis

# Notes for Survival Analysis

## by Hao Sun

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This book is the notebook for Survival Analysis - Techniques for Censored and Truncated Data authored by John P.Klein and Melvin L. ... Read more →

# Survival Analysis in R

## by Michael Foley

Concepts and application of surival analysis using R. [...] Survival analyses model time-to-event. They differ from linear regression in two respects. Event times are typically skewed right with many early events and few late ones, violating linear regression’s normality assumption. Survival analyses must also manage censoring, an unknown starting event (left censoring) and/or ending event (right censoring)1. Censoring occurs if the event does not take place by the end of the study window, or the subject is in some way lost to follow-up. In Figure 0.1, subjects 3, 5, 9, and 15 either ... Read more →

# Probability

## by Michael Foley

Notes cobbled together from books, online classes, etc. to be used as quick reference for common work projects. […] These are notes from books, classes, tutorials, vignettes, etc. They contain mistakes, are poorly organized, and are sloppy on fundamentals. They should improve over time, but that’s all I can say for it. Use at your own risk. The focus of this handbook is probability, including random variables and probability distributions. Not included here: statistics, machine learning, text mining, survey analysis, or survival analysis. These subjects frequently arise at work, but are … Read more →

# A short course on Survival Analysis applied to the Financial Industry

## by Marta Sestelo

This is a short course on survival analysis applied to the financial field. […] This book is designed to provide a guide for a short course on survival analysis. It is mainly focussed on applying the stastical tecnquines developed in the survival field to the financial industry. The emphasis is placed in understanding the methods, building intuition about when aplying each of them and showing their application through the use of statistical … Read more →