Year Published: 2013

Time to Complete: 75 min

Course Type: Self-paced Online

Instructor: Robin Ruthazer, MPH

Learning Level: Fundamental

Primary Audience: Researchers

Prerequisite: None

Skills Domain: Scientific Concepts and Research Design

Wondering how patient survival data is analyzed in clinical research?

Have you always wondered how survival estimates are calculated?

In this course, Statistician Robin Ruthazer, MPH, will present 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
2023 Course: Open January 1 through December 31 Online Self-paced course This Course is Free