Any detailed guides to cancer survival analysis for beginners?

Question

[jzhou]

Hi all, I'm just beginning to work in the field of bioinformatics and have recently started a project on survival analysis of certain genes in cancer. I have basic knowledge of statistics and cancer biology but while I have been reading up on how to conduct my research I have come across a lot of scattered new terms such as Kaplan Meier curves, etc. which have really confused me. So I was wondering if any pros out there could suggest or link a more simplistic guide that covers most or all important points and concepts that are specific to cancer survival analysis. Thanks in advance

Answer 1

[EagleEye]

This article might provode you with basic idea on concept of clinical survival analysis,

Understanding survival analysis: Kaplan-Meier estimate

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059453/

Basic practical guides,

http://www.ats.ucla.edu/stat/r/examples/asa/asa_ch2_r.htm

http://www.tutorialspoint.com/r/r_survival_analysis.htm

[venu]

One more: Survival analysis of TCGA patients integrating gene expression (RNASeq) data