Related Experiment Video
Updated: Jul 6, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Nonparametric estimation of survival function of HIV+ patients with doubly censored data
Gurprit Grover1, Nezhat Shakeri
1Department of statistics, University of Delhi, Delhi,110007, India.
Abstract:
In the analysis of follow-up studies of patients who have been or may be infected by the Type-1 human immunodeficiency virus (HIV-1), which causes the acquired immune deficiency syndrome (AIDS), one problem of interest is the estimation of distribution of the survival function when the origin and end points defining the survival time suffer interval censoring. In this paper, we have compared Kaplan-Meier, midpoint estimation and sun (1997), by analysis of a cohort study data of Iranian Injecting Drug Users (IDU) who became HIV infected through the using common infected syringe.
Related Concept Videos
Kaplan-Meier Approach
Censoring Survival Data
Assumptions of Survival Analysis
Comparing the Survival Analysis of Two or More Groups
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...

