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Updated: Jan 6, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
[Statistical methods for the analyses in clinical practice. Part 2. Survival analysis and multivariate statistics]
P O Rumyantsev1, V A Saenko1, U V Rumyantseva1
1Medical Radiological Research Centre, Russian Academy of Medical Sciences.
Abstract:
Statistical analysis is an integral component of clinical studies. The objective of the present paper is to assist clinicians in getting deeper insight into basic principles underlying different methods available for the statistical treatment of medical data without a detailed description of relevant mathematical calculations. The most popular and widely used methods of statistical analysis are considered with special reference to their practical application in clinical and experimental medicine. Part I of the review was devoted to foundations of descriptive statistics and univariate analysis. Part II is focused on the principles of survival analysis and multivariate methods.
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