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Updated: Nov 4, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Survival Analysis: Where, Why, What and How?
Abhaya Indrayan1, Chandra Bhushan Tripathi2
1Max Healthcare, Delhi. Correspondence to: Dr A Indrayan, A-037 Telecom City, B-9/6 Sector 62, NOIDA 201 309, Uttar Pradesh. a.indrayan@gmail.com.
Abstract:
Durations of any event, such as duration of hospitalization, is usually found to have a highly skewed distribution and incomplete values due to dropouts and limited follow-up. The usual methods of statistical analysis are, therefore, not applicable. The method of survival analysis is a nonparametric method and is designed to overcome these problems. Survival is a generic term and is used for any time-to-event data. The entire survival pattern at different points in time is studied by the Kaplan-Meier method under certain conditions. Log-rank method is used to compare survival pattern in two or more groups. Hazard is the rate of occurrence of an event per unit of time and studied by Cox method. The concept of survival and all these methods of survival analysis are briefly discussed in this short note in a non-mathematical format for medical audience.
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