Year Published: 2013

Time to Complete: 75 min

Course Type: Self-paced Online

Instructor: Robin Ruthazer, MPH

Learning Level: Fundamental

Primary Audience: All Research Team Members

Prerequisite: None

Course Collection(s): Research Design and Data Analysis


Wondering how patient survival data is analyzed in clinical research?

In this course, Statistician Robin Ruthazer, MPH, presents a behind-the-scenes look at survival analysis. Learn how time-to-event data requires special techniques like Kaplan-Meier curves and Cox regression, and how their output is interpreted.

Learning Objectives

After completing this course, you will be able to:

  • Define survival analysis.
  • Explain how time-to-event data is different from other data.
  • Discuss the differences between Kaplan-Meier curves and Cox regression.
  • Identify a Kaplan-Meier curve and a Cox regression in a journal article.
  • Describe how survival estimates are calculated.

Available courses

Date Location Type Price
2024 Course: Open January 1 through December 31 Online Self-paced course This Course is Free