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Updated: Feb 17, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
[Nomograms in routine clinical practice: Methodology, interest and limitations]
Thomas Filleron1, Léonor Chaltiel1, Eva Jouve2
1Institut Claudius-Regaud, IUCT-oncopole, cellule biostatistique, 1, avenue 6, Irène-Joliot-Curie, 31059 Toulouse, France.
Abstract:
In order to help the clinician, mathematical models including several clinical and pathological variables are proposed in the literature with the aim to predict the occurrence of an event of interest. Nomograms allow individual prognosis for each patient. When they are developed, validated and correctly used, nomograms can provide important information for patients' care. But, despite the strong interest in nomograms in oncology, statistical methodologies used remain unknown from the medical community. This paper presents the major steps in the development, the validation and the clinical use of nomograms. Examples are given to illustrate these different points and the limits of this methodology. Finally, guidelines on the use of nomograms are proposed for clinicians.
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