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Communications in Statistics - Theory and Methods Volume 33, 2005 - Issue 10
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Original Articles

Bayesian Analysis of an Additive Survival Model with Frailty

Giovani L. Silva Departamento Matemática and CEMAT-IST, Universidade Técnica de Lisboa, Lisboa, Portugal; Departamento Matemática and CEMAT-IST, Universidade Técnica de Lisboa, Av. Rovisco Pais, 1, Lisboa, 1049-001, PortugalCorrespondence[email protected]
&
M. Antónia Amaral-Turkman Departamento Estatística e Investigação Operacional and CEAUL, Universidade de Lisboa, Lisboa, Portugal
Pages 2517-2533 | Published online: 15 Feb 2007

Citations (6)

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Jiajia Zhang & Andrew B. Lawson. (2011) Bayesian parametric accelerated failure time spatial model and its application to prostate cancer. Journal of Applied Statistics 38:3, pages 591-603.
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Articles from other publishers (5)

Rachel Carroll, Andrew B Lawson & Shanshan Zhao. (2019) Temporally dependent accelerated failure time model for capturing the impact of events that alter survival in disease mapping. Biostatistics 20:4, pages 666-680.
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A. Chernoukhov, A. Hussein, S. Nkurunziza & D. Bandyopadhyay. (2018) Bayesian inference in time-varying additive hazards models with applications to disease mapping. Environmetrics 29:5-6, pages e2478.
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Rachel Carroll, Andrew B. Lawson, Chandra L. Jackson & Shanshan Zhao. (2017) Assessment of spatial variation in breast cancer-specific mortality using Louisiana SEER data. Social Science & Medicine 193, pages 1-7.
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Ramesh C. Gupta. (2015) Properties of additive frailty model in survival analysis. Metrika 79:1, pages 1-17.
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Ramesh C. Gupta & Rameshwar D. Gupta. (2009) General frailty model and stochastic orderings. Journal of Statistical Planning and Inference 139:9, pages 3277-3287.
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