» Articles » PMID: 1912255

Regression with Frailty in Survival Analysis

Overview
Journal Biometrics
Specialty Public Health
Date 1991 Jun 1
PMID 1912255
Citations 42
Authors
Affiliations
Soon will be listed here.
Abstract

In studies of survival, the hazard function for each individual may depend on observed risk variables but usually not all such variables are known or measurable. This unknown factor of the hazard function is usually termed the individual heterogeneity or frailty. When survival is time to the occurrence of a particular type of event and more than one such time may be obtained for each individual, frailty is a common factor among such recurrence times. A model including frailty is fitted to such repeated measures of recurrence times.

Citing Articles

Marginal semiparametric accelerated failure time cure model for clustered survival data.

Niu Y, Fan D, Ding J, Peng Y Stat Methods Med Res. 2024; 34(1):150-169.

PMID: 39659151 PMC: 11800722. DOI: 10.1177/09622802241295335.


Systematic review of methods used in prediction models with recurrent event data.

Watson V, Tudur Smith C, Bonnett L Diagn Progn Res. 2024; 8(1):13.

PMID: 39103900 PMC: 11302841. DOI: 10.1186/s41512-024-00173-5.


A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme.

Peralta D, de Oliveira R, Achcar J J Appl Stat. 2024; 51(9):1772-1791.

PMID: 38933141 PMC: 11198142. DOI: 10.1080/02664763.2023.2235093.


The quasi-xgamma frailty model with survival analysis under heterogeneity problem, validation testing, and risk analysis for emergency care data.

Loubna H, Goual H, Alghamdi F, Mustafa M, Mekiso G, Ali M Sci Rep. 2024; 14(1):8973.

PMID: 38637600 PMC: 11026502. DOI: 10.1038/s41598-024-59137-w.


Application of Frailty Quantile Regression Model to Investigate of Factors Survival Time in Breast Cancer: A Multi-Center Study.

Yazdani A, Zeraati H, Haghighat S, Kaviani A, Yaseri M Health Serv Res Manag Epidemiol. 2023; 10:23333928231161951.

PMID: 36970375 PMC: 10034283. DOI: 10.1177/23333928231161951.