Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer data (2013)
- Authors:
- USP affiliated authors: MARTINEZ, EDSON ZANGIACOMI - FMRP ; ACHCAR, JORGE ALBERTO - FMRP ; SANTOS, JOSÉ SEBASTIÃO DOS - FMRP
- Unidade: FMRP
- DOI: 10.1016/j.cmpb.2013.07.021
- Subjects: NEOPLASIAS GÁSTRICAS; ANÁLISE DE SOBREVIVÊNCIA; INFERÊNCIA BAYESIANA; MÉTODO DE MONTE CARLO
- Language: Inglês
- Imprenta:
- Source:
- Título: Computer Methods and Programs in Biomedicine
- ISSN: 0169-2607
- Volume/Número/Paginação/Ano: v. 112, n. 3, p. 343-355, 2013
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
MARTINEZ, Edson Zangiacomi et al. Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer data. Computer Methods and Programs in Biomedicine, v. 112, n. 3, p. 343-355, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2013.07.021. Acesso em: 22 jan. 2026. -
APA
Martinez, E. Z., Achcar, J. A., Jácome, A. A. A., & Santos, J. S. dos. (2013). Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer data. Computer Methods and Programs in Biomedicine, 112( 3), 343-355. doi:10.1016/j.cmpb.2013.07.021 -
NLM
Martinez EZ, Achcar JA, Jácome AAA, Santos JS dos. Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer data [Internet]. Computer Methods and Programs in Biomedicine. 2013 ; 112( 3): 343-355.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.cmpb.2013.07.021 -
Vancouver
Martinez EZ, Achcar JA, Jácome AAA, Santos JS dos. Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer data [Internet]. Computer Methods and Programs in Biomedicine. 2013 ; 112( 3): 343-355.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.cmpb.2013.07.021 - Prognostic value of epidermal growth factor receptors in gastric cancer: a survival analysis by Weibull model incorporating long-term survivors
- Effect of adjuvant chemoradiotherapy on overall survival of gastric cancer patients submitted to D2 lymphadenectomy
- Binary data in the presence of covariates and misclassifications: a bayesian approach
- Bayesian bivariate generalized Lindley model for survival data with a cure fraction
- Robust linear regression models: use of a stable distribution for the response data
- Bivariate modified weibull distribution derived from Farlie-Gumbel-Morgenstern copula: a simulation study
- Bayesian model for semi-latent data with covariates: estimating the performance of diagnosis tests
- Bayesian estimation of diagnostic tests accurancy for semi-latent data with covariates
- Métodos bayesianos no rastreamento do câncer de colo uterino em São Paulo
- Estimação bayesiana das medidas de desempenho de testes diagnósticos na presença de dados faltantes e covariáveis e na ausência de um padrão ouro: Aplicação ao rastreamento do câncer de colo uterino
Informações sobre o DOI: 10.1016/j.cmpb.2013.07.021 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
002442219.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
