Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A study on comparisons of additive regression frailty models to counter heterogeneity: Bayesian strategies and case study Subject The topic of the resource Bayesian estimation frailty model; Hazard rate; Random censoring; Survival distributions Description An account of the resource Historically, the primary goal of conventional survival study methods has been to reduce the frequency of failures over time. If the associated observed and unobserved variables are not known when studying such events, this can have detrimental effects. Frailty models offer a tempting solution for investigating the impact of unknown variables in such a case. In this article, we assume that frailty affects the hazard rate. We find that the weighted Lindley frailty models, which use general versions of the Weibull and log-logistic type II distributions as the baseline distributions, are a reliable method for ensuring the influence of endogenous variability. The parameters involved are estimated according to different loss functions using the Bayesian structure as the basis of Markov Chain Monte Carlo. Bayesian evaluation strategies are then implemented to evaluate the models. The results are demonstrated on known data of kidney infections. It is shown that the novel models outperform those based on the inverse Gaussian and gamma frailty distributions. 2024 Taylor &amp; Francis Group, LLC. Creator An entity primarily responsible for making the resource Tyagi S.; Pandey A.; Hanagal D.D.; Chesneau C. Source A related resource from which the described resource is derived Communications in Statistics: Simulation and Computation Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/03610918.2024.2391874" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/03610918.2024.2391874</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201934170&amp;doi=10.1080%2F03610918.2024.2391874&amp;partnerID=40&amp;md5=07632b1b23ebb30d945af5a25acbb241" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201934170&amp;doi=10.1080%2f03610918.2024.2391874&amp;partnerID=40&amp;md5=07632b1b23ebb30d945af5a25acbb241</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 3610918 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Tyagi S., Department of Statistics, Central University of Rajasthan, Rajasthan, India, Department of Statistics and Data Science, Christ University, Bengaluru, India; Pandey A., Department of Statistics, Central University of Rajasthan, Rajasthan, India; Hanagal D.D., Department of Statistics, Savitribai Phule Pune University, Pune, India; Chesneau C., Department of Mathematics, University of Caen-Normandy, Caen, France