A survival model with Birnbaum-Saunders frailty for uncensored and censored cancer data
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Publication:1620921
DOI10.1214/17-BJPS360zbMath1404.62125OpenAlexW2887410224WikidataQ129368037 ScholiaQ129368037MaRDI QIDQ1620921
Helton Saulo, Jeremias Leão, Víctor Leiva, Vera Lucia Tomazella
Publication date: 15 November 2018
Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.bjps/1534492898
Monte Carlo simulationlikelihood methodsfrailty modelsBirnbaum-Saunders distributionR softwaremedical data
Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)
Related Items (12)
On a new mixture-based regression model: simulation and application to data with high censoring ⋮ Estimation based on ranked set sampling for the two-parameter Birnbaum–Saunders distribution ⋮ On a tobit–Birnbaum–Saunders model with an application to medical data ⋮ [Invited tutorial Birnbaum–Saunders regression models: a comparative evaluation of three approaches] ⋮ Robust beta regression modeling with errors-in-variables: a Bayesian approach and numerical applications ⋮ Bivariate Birnbaum-Saunders accelerated lifetime model: estimation and diagnostic analysis ⋮ On mean-based bivariate Birnbaum-Saunders distributions: Properties, inference and application ⋮ Log‐symmetric quantile regression models ⋮ A new cure rate frailty regression model based on a weighted Lindley distribution applied to stomach cancer data ⋮ Generalized Birnbaum–Saunders mixture cure frailty model: inferential method and an application to bone marrow transplant data ⋮ Authors' Rejoinder ⋮ On a new type of Birnbaum-Saunders models and its inference and application to fatigue data
Uses Software
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