Related Experiment Video
Updated: Jun 25, 2026

Measurement of Lifespan in Drosophila melanogaster
Published on: January 7, 2013
Parametric estimation of quality adjusted lifetime (QAL) distribution in progressive illness--death model
Biswabrata Pradhan1, Anup Dewanji
1SQC and OR Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata 700108, India. bis@isical.ac.in
Abstract:
In this work, we consider the parametric estimation of quality adjusted lifetime (QAL) distribution in progressive illness-death models. The main idea of this paper is to derive the theoretical distribution of QAL for the progressive illness-death models, under parametric models for the sojourn time distributions in different states, and then replace the model parameters by their estimates obtained by standard techniques of survival analysis. The method of estimation of the model parameters is also described. A data set of IBCSG Trial V has been analyzed for illustration. Extension to more general illness-death models is also discussed.
Related Concept Videos
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...
Life Tables
Kaplan-Meier Approach
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Assumptions of Survival Analysis
