---
title: "Survival Analysis in R"
author: "Michael Foley"
date: "2022-10-30T11:33:48Z"
tags: [Survival Analysis]
link: "https://bookdown.org/mpfoley1973/survival/"
length_weight: "8.7%"
repo: "handbooks/survival"
pinned: false
---

<p>Concepts and application of surival analysis
using R.</p> [...] 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 ...
