From 0d19ad692b577dba3d903a25903549d4fd309089 Mon Sep 17 00:00:00 2001 From: Cameron Davidson-Pilon Date: Sun, 8 Mar 2015 12:11:14 -0400 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 40dd95d9d..635ef1bef 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ lifelines [![Latest Version](https://pypip.in/v/lifelines/badge.png)](https://pypi.python.org/pypi/lifelines/) [![Build Status](https://travis-ci.org/CamDavidsonPilon/lifelines.svg?branch=master)](https://travis-ci.org/CamDavidsonPilon/lifelines) -[![Coverage Status](https://coveralls.io/repos/CamDavidsonPilon/lifelines/badge.svg)](https://coveralls.io/r/CamDavidsonPilon/lifelines) +[![Coverage Status](https://coveralls.io/repos/CamDavidsonPilon/lifelines/badge.svg?branch=master)](https://coveralls.io/r/CamDavidsonPilon/lifelines?branch=master) [What is survival analysis and why should I learn it?](http://lifelines.readthedocs.org/en/latest/Survival%20Analysis%20intro.html) Survival analysis was originally developed and applied heavily by the actuarial and medical community. Its purpose was to answer *why do events occur now versus later* under uncertainty (where *events* might refer to deaths, disease remission, etc.). This is great for researchers who are interested in measuring lifetimes: they can answer questions like *what factors might influence deaths?*