Defining the optimal approach to the patient with postradiation prostate-specific antigen recurrence using outcome data from a prospective randomized trial (2013)
- Authors:
- Autor USP: ANDRADE FILHO, MÁRIO DE CASTRO - ICMC
- Unidade: ICMC
- DOI: 10.1002/cncr.28202
- Subjects: INFERÊNCIA BAYESIANA; ESTATÍSTICA APLICADA
- Language: Inglês
- Imprenta:
- Publisher place: Malden, Ma
- Date published: 2013
- Source:
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
KIM, Miranda B. et al. Defining the optimal approach to the patient with postradiation prostate-specific antigen recurrence using outcome data from a prospective randomized trial. Cancer, v. 119, n. 18, p. 3280\20133286, 2013Tradução . . Disponível em: https://doi.org/10.1002/cncr.28202. Acesso em: 24 abr. 2024. -
APA
Kim, M. B., Chen, M. -H., Castro, M. de, Loffredo, M., Kantoff, P. W., & D'Amico, A. V. (2013). Defining the optimal approach to the patient with postradiation prostate-specific antigen recurrence using outcome data from a prospective randomized trial. Cancer, 119( 18), 3280\20133286. doi:10.1002/cncr.28202 -
NLM
Kim MB, Chen M-H, Castro M de, Loffredo M, Kantoff PW, D'Amico AV. Defining the optimal approach to the patient with postradiation prostate-specific antigen recurrence using outcome data from a prospective randomized trial [Internet]. Cancer. 2013 ; 119( 18): 3280\20133286.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1002/cncr.28202 -
Vancouver
Kim MB, Chen M-H, Castro M de, Loffredo M, Kantoff PW, D'Amico AV. Defining the optimal approach to the patient with postradiation prostate-specific antigen recurrence using outcome data from a prospective randomized trial [Internet]. Cancer. 2013 ; 119( 18): 3280\20133286.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1002/cncr.28202 - Influence assessment in an heteroscedastic errors-in-variables model
- A new family of generalized distributions
- A flexible cure rate model based on the polylogarithm distribution
- A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances
- A bayesian multi-risks survival (MRS) model in the presence of double censorings
- Contribuições ao estudo de modelos com erros nas variáveis
- The beta generalized gamma distribution
- Frailty models power variance function with cure fraction and latent risk factors negative binomial
- Maximum penalized likelihood inference in classical errors-in-variables model
- New estimation methods for the Grubbs model
Informações sobre o DOI: 10.1002/cncr.28202 (Fonte: oaDOI API)
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