Survival Data Analysis for Cancer Data
Corrado Lanera, Danila Azzolina, Daniele Bottigliengo1
02 - 06 October, 2017
This book is designed to collect notes and exercises from the Ph.D. course on Survival Data Analysis for Cancer Data by prof. Sylvie Chevret and prof. Matthieu Resche-Rigon from ECSTRRA Team, Inserm, University of Paris Diderot, promoted by the Dep. of Mathematical Sciences “G. L. Lagrange” of the Politecnico of Torino (Italy).
Any contribution is welcome! From the download button on the top of each (HTML) page you can download both the
epub and the
If you find any mistake/typo or want to share ideas, you can help improve the book in the following way:
Here, there are the libraries loaded during the course, w/ the relative options, plus some packages and options useful to write code more understandable by humans obtaining nicer output.
# Packages for the analyses library(survival) # Survival Analysis library(survminer) # Drawing Survival Curves using 'ggplot2' library(cmprsk) # Competing risk library(rms) # Regression Modeling Strategy (include Hmisc package) options(datadist = 'dd') # Distribution Summaries used by rms # Package(s) for data management library(tidyverse) # Imports the principal tidyverse packages # Document output options knitr::opts_chunk$set( echo = TRUE, # Render all the code message = FALSE, # Do net render messages warning = FALSE, # Do not render warnings fig.height = 4.4, # Right figure height to permit two figures in a PDF page cache.extra = knitr::rand_seed # cache random seed to assure reproducibility )
The following code create the packages.bib files which is the BibTeX lists of all the packages references we have loaded.
# Automatically create a bib database for the loaded packages knitr::write_bib(c(.packages(), 'bookdown', 'knitr', 'rmarkdown'), file = 'packages.bib' )