Software for semiparametric shared gamma and log-normal frailty models: An overview

Authors:
Katharina Hirsch;Andreas Wienke
Affiliations:
Martin-Luther-University Halle-Wittenberg, Institute of Medical Epidemiology, Biostatistics, and Informatics, Magdeburger Str. 8, D-06097 Halle (Saale), Germany;Martin-Luther-University Halle-Wittenberg, Institute of Medical Epidemiology, Biostatistics, and Informatics, Magdeburger Str. 8, D-06097 Halle (Saale), Germany
Venue:
Computer Methods and Programs in Biomedicine
Year:
2012

Citing 5
Cited 0

WinBUGS – A Bayesian modelling framework: Concepts, structure, and extensibility

Statistics and Computing
A hybrid ML-EM algorithm for calculation of maximum likelihood estimates in semiparametric shared frailty models

Computational Statistics & Data Analysis
frailtypack: A computer program for the analysis of correlated failure time data using penalized likelihood estimation

Computer Methods and Programs in Biomedicine
The Frailty Model

The Frailty Model
Statistical models for recurrent events and death: Application to cancer events

Mathematical and Computer Modelling: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In survival analysis individuals are followed over some period and the time until the transition from an initial to a final state is of particular interest. An important tool for analyzing potential risk factors of this transition is the Cox proportional hazards model. This model requires homogeneity in the study population and independence between the observations. An extension of the Cox model to deal with both, unobserved heterogeneity and clustered survival data, are frailty models [1]. Different software are available for the analysis of shared frailty models such as coxph, coxme, phmm, frailtyPenal, SPGAM or SPLN3. This makes it difficult for the user to find the appropriate tool for the specific problem under investigation. To compare the performance of the aforementioned software a large simulation study was conducted. Advantages and limitations of the software are discussed in detail.