Erschienen in:
01.12.2017 | Original Article
Quantifying predictive accuracy in survival models
verfasst von:
Seth T. Lirette, MS, Inmaculada Aban, PhD
Erschienen in:
Journal of Nuclear Cardiology
|
Ausgabe 6/2017
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Abstract
For time-to-event outcomes in medical research, survival models are the most appropriate to use. Unlike logistic regression models, quantifying the predictive accuracy of these models is not a trivial task. We present the classes of concordance (C) statistics and R
2 statistics often used to assess the predictive ability of these models. The discussion focuses on Harrell’s C, Kent and O’Quigley’s R
2, and Royston and Sauerbrei’s R
2. We present similarities and differences between the statistics, discuss the software options from the most widely used statistical analysis packages, and give a practical example using the Worcester Heart Attack Study dataset.