Fonte: Statistical Methods and Applications. Unidade: FMRP
Assuntos: DADOS CENSURADOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC, ANÁLISE DE SOBREVIVÊNCIA
ABNT
ACHCAR, Jorge Alberto e BARILI, Emerson. Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors. Statistical Methods and Applications, v. 33, p. 357-380, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10260-023-00734-w. Acesso em: 16 nov. 2024.APA
Achcar, J. A., & Barili, E. (2024). Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors. Statistical Methods and Applications, 33, 357-380. doi:10.1007/s10260-023-00734-wNLM
Achcar JA, Barili E. Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors [Internet]. Statistical Methods and Applications. 2024 ; 33 357-380.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10260-023-00734-wVancouver
Achcar JA, Barili E. Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors [Internet]. Statistical Methods and Applications. 2024 ; 33 357-380.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10260-023-00734-w