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Updated: Oct 15, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Calibration Factors for STS Risk Model Predictions: Why, How and When They Are Used
Ruyun Jin1, Mansen Wang1, Gary L Grunkemeier1
1Center for Cardiovascular Analytics, Research and Data Science (CARDS), Providence Heart Institute, Providence Research Network, Portland, Oregon.
Abstract:
The Society of Thoracic Surgeons (STS) Adult Cardiac Surgery Database is the world's premier adult cardiac surgery outcomes registry. This tutorial explains the following: how STS updates the risk models that are used to calculate the predicted risks of adverse events in the registry; why STS on a quarterly basis adjusts or "calibrates" the observed-to-expected ratios to equal 1 (O/E = 1), thereby effectively making the annual number of adverse events predicted by the model match the annual number of adverse events observed in the entire registry; the differences between the calibrated and uncalibrated O/E ratios; and how and when to use each.
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