Related Experiment Video
Updated: Aug 19, 2026

Frailty Assessment in an Aging Mouse Model
Published on: September 23, 2025
Frailty models for arbitrarily censored and truncated data
Catherine Huber-Carol1, Ilia Vonta
1CNRS 8145, MAP 5, UFR Biomédicale, Université René Descartes, 45, rue des Saints-Pères, 75 270 Paris Cedex 06, France. catherine.huber@univ-paris5.fr
Abstract:
In this paper, we propose a frailty model for statistical inference in the case where we are faced with arbitrarily censored and truncated data. Our results extend those of Alioum and Commenges (1996), who developed a method of fitting a proportional hazards model to data of this kind. We discuss the identifiability of the regression coefficients involved in the model which are the parameters of interest, as well as the identifiability of the baseline cumulative hazard function of the model which plays the role of the infinite dimensional nuisance parameter. We illustrate our method with the use of simulated data as well as with a set of real data on transfusion-related AIDS.
Related Concept Videos
Censoring Survival Data
Truncation in Survival Analysis
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are observed.
Assumptions of Survival Analysis
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...
Kaplan-Meier Approach
Survival Tree
Building a Survival Tree
Constructing a survival tree begins...

