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241107s2024 xx |||||o 00| ||eng c |
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|a 10.1080/02664763.2024.2338404
|2 doi
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|a pubmed24n1598.xml
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|a DE-627
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|a eng
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| 100 |
1 |
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|a Parvej, Mohammad
|e verfasserin
|4 aut
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| 245 |
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|a Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data
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|c 2024
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Revised 07.11.2024
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|a published: Electronic-eCollection
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|a Citation Status PubMed-not-MEDLINE
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|a © 2024 Informa UK Limited, trading as Taylor & Francis Group.
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|a In survival analysis, the Accelerated Failure Time (AFT) shared frailty model is a widely used framework for analyzing time-to-event data while accounting for unobserved heterogeneity among individuals. This paper extends the traditional Weibull AFT shared frailty model using half logistic-G family of distributions (Type I, Type II and Type II exponentiated) through Bayesian methods. This approach offers flexibility in capturing covariate influence and handling heavy-tailed frailty distributions. Bayesian inference with MCMC provides parameter estimates and credible intervals. Simulation studies show improved model predictive performance compared to existing models, and real-world applications demonstrate its practical utility. In summary, our Bayesian Weibull AFT shared frailty model with Type I, Type II and Type II exponentiated half logistic-G family distributions enhances time-to-event data analysis, making it a versatile tool for survival analysis in various fields using STAN in R
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|a Journal Article
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|a AFT
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4 |
|a LOOIC
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| 650 |
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4 |
|a STAN
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| 650 |
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4 |
|a Type I half-logistic-G
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| 650 |
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4 |
|a WAIC
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| 650 |
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|a Weibull distribution
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| 650 |
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4 |
|a censored data
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| 650 |
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4 |
|a shared-frailty
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| 650 |
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4 |
|a type II exponentiated half logistic-G
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| 650 |
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|a type II half logistic-G
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| 700 |
1 |
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|a Ali Khan, Athar
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Journal of applied statistics
|d 1991
|g 51(2024), 15 vom: 06., Seite 3125-3153
|w (DE-627)NLM098188178
|x 0266-4763
|7 nnns
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| 773 |
1 |
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|g volume:51
|g year:2024
|g number:15
|g day:06
|g pages:3125-3153
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| 856 |
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|u http://dx.doi.org/10.1080/02664763.2024.2338404
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