Related Experiment Video
Updated: Oct 19, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Adjusted Survival Curves Improve Understanding of Multivariable Cox Model Results
Carly S Lundgreen1, Dirk R Larson1, Elizabeth J Atkinson1
1Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Abstract:
Kaplan-Meier survival curves are the most common methods for unadjusted group comparison of outcomes in orthopedic research. However, they may be misleading due to an imbalance of confounders between patient groups. The Cox model is frequently used to adjust for confounders, but graphical display of adjusted survival curves is not commonly utilized. We describe the circumstances when adjusted survival curves are useful in orthopedic research, describe and use 2 different methods to obtain adjusted curves, and illustrate how they can improve understanding of the multivariable Cox model results. We further provide practical strategies for identifying the need for and performing adjusted survival curves. Please visit the followinghttps://youtu.be/ys0hy2CiMCAfor a video that explains the highlights of the paper in practical terms.
Related Concept Videos
Comparing the Survival Analysis of Two or More Groups
Cancer Survival Analysis
Assumptions of Survival Analysis
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Kaplan-Meier Approach

