Shared frailty models with baseline generalized Pareto distribution

Pandey, Arvind; Bhushan, Shashi; Lalpawimawha, Ralte

doi:10.1080/03610926.2018.1500597

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Book1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hanagal and Dabade [4] introduced new Compound negative binomial shared frailty models for bivariate survival data using Weibull and generalized exponential as baseline distributions. Pandey et al [5] compared gamma, inverse Gaussian and positive frailty models with generalized Pareto as baseline distribution. Pandey et al [6] also compared gamma and inverse Gaussian frailty distributions under additive property.…”

Section: Introductionmentioning

confidence: 99%

Modeling Heterogeneity Using Lindley Distribution

Pandey¹,

Lalpawimawha²

2022

Computational Statistics and Applications

Self Cite

View full text Add to dashboard Cite

Frailty models are intended for use in survival analysis to explain unobserved heterogeneity in an individual caused by various hereditary variables or environmental influences. A shared frailty model was utilized to examine the data. It is based on the idea that frailty affects the hazard rate in a multiplicative manner. In this manuscript, we introduce a new frailty model called the Lindley shared frailty model with exponential power and generalized Rayleigh as baseline distributions. The The Bayesian method of the Monte Carlo method of the Markov chain is used to estimate the parameters used in the model; simulation studies are also carried out to compare the actual and calculated values of the parameters; the proposed model is compared with the Bayesian comparison method Compare and propose the best model of infectious disease data.

show abstract

Section: Introductionmentioning

confidence: 99%