The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland (2015)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1214/13-BJPS232
- Subjects: PROBABILIDADE; LOGÍSTICA; MODELOS PARA PROCESSOS ESTOCÁSTICOS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Brazilian Journal of Probability and Statistics
- ISSN: 2317-6199
- Volume/Número/Paginação/Ano: v. 29, n. 1, p. 132-144, 2015
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: unspecified-oa
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ABNT
MILANI, Eder et al. The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland. Brazilian Journal of Probability and Statistics, v. 29, n. 1, p. 132-144, 2015Tradução . . Disponível em: https://doi.org/10.1214/13-BJPS232. Acesso em: 24 set. 2024. -
APA
Milani, E., Tomazella, V. L. D., Dias, T. C. M., & Louzada, F. (2015). The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland. Brazilian Journal of Probability and Statistics, 29( 1), 132-144. doi:10.1214/13-BJPS232 -
NLM
Milani E, Tomazella VLD, Dias TCM, Louzada F. The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 132-144.[citado 2024 set. 24 ] Available from: https://doi.org/10.1214/13-BJPS232 -
Vancouver
Milani E, Tomazella VLD, Dias TCM, Louzada F. The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 132-144.[citado 2024 set. 24 ] Available from: https://doi.org/10.1214/13-BJPS232 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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Informações sobre o DOI: 10.1214/13-BJPS232 (Fonte: oaDOI API)
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