Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates (2022)
- Authors:
- USP affiliated authors: MARTINEZ, EDSON ZANGIACOMI - FMRP ; ACHCAR, JORGE ALBERTO - ICMC ; ARAGON, DAVI CASALE - FMRP ; PERES, MARCOS VINICIUS DE OLIVEIRA - FMRP
- Unidades: FMRP; ICMC
- DOI: 10.19139/soic-2310-5070-1266
- Subjects: PROBABILIDADE; ANÁLISE DE SOBREVIVÊNCIA; DADOS CENSURADOS; INFERÊNCIA BAYESIANA; MÉTODOS MCMC
- Keywords: Weibull distribution; Survival analysis; Cure fraction; Censored data
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Statistics, Optimization & Information Computing
- ISSN: 2310-5070
- Volume/Número/Paginação/Ano: v. 10, n. 2, p. 548-571, 2022
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
MARTINEZ, Edson Zangiacomi et al. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates. Statistics, Optimization & Information Computing, v. 10, n. 2, p. 548-571, 2022Tradução . . Disponível em: https://doi.org/10.19139/soic-2310-5070-1266. Acesso em: 01 out. 2024. -
APA
Martinez, E. Z., Freitas, B. C. L. de, Achcar, J. A., Aragon, D. C., & Peres, M. V. de O. (2022). Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates. Statistics, Optimization & Information Computing, 10( 2), 548-571. doi:10.19139/soic-2310-5070-1266 -
NLM
Martinez EZ, Freitas BCL de, Achcar JA, Aragon DC, Peres MV de O. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 2): 548-571.[citado 2024 out. 01 ] Available from: https://doi.org/10.19139/soic-2310-5070-1266 -
Vancouver
Martinez EZ, Freitas BCL de, Achcar JA, Aragon DC, Peres MV de O. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 2): 548-571.[citado 2024 out. 01 ] Available from: https://doi.org/10.19139/soic-2310-5070-1266 - Different inference approaches for the estimators of the sushila distribution
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Informações sobre o DOI: 10.19139/soic-2310-5070-1266 (Fonte: oaDOI API)
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