You are here: Home / Resources / Teaching Materials / Module M.8 Survival analysis / Description
Resource Image

Module M.8 Survival analysis

Author(s): Stephanie J. Gonzalez1, Raisa Hernández-Pacheco1

California State University, Long Beach

421 total view(s), 162 download(s)

0 comment(s) (Post a comment)

Download

Adapt 0
Summary:
Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis using authentic data of Cayo Santiago rhesus macaques.…

more

Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis using authentic data of Cayo Santiago rhesus macaques. Module M.8 introduces survival analysis in R.

Licensed under Creative Commons CC0 1.0 Universal

Version 1.0 - published on 26 Jun 2023 doi:10.25334/ASV1-J052 - cite this

Keywords

  1. R programming language
  2. primates
  3. population ecology

Alignments

  1. Resource Type
  2. Audience Level
  3. Activity Length
  4. Software Used
  5. Open Science and Education Practices Ontology
Contents:
view all files

Description

In Module M.8, we introduce functions from R packages survival, survminer, and coxme to perform survival analysis based on Kaplan-Meir methods and Cox regression on authentic data from Cayo Santiago rhesus macaques. Module M.8 is part of the 8-module series Introduction to Primate Data Exploration and Linear Modeling with R.

Notes

The creation of this module was funded by the National Science Foundation DBI BRC-BIO award 2217812. Additional support was provided by the National Institutes of Health to Stephanie J. Gonzalez, award T32GM138075. Cayo Santiago is supported by the Office of Research Infrastructure Programs (ORIP) of the National Institutes of Health, grant 2 P40 OD012217, and the University of Puerto Rico (UPR), Medical Sciences Campus.

Cite this work

Researchers should cite this work as follows:

Close

Home

Search