Data/hora: 04/06/2024 13:56:32

Biblioteca(s): 	Embrapa Mandioca e Fruticultura.	
Data corrente: 	29/08/1995	
Data da última atualização: 	29/08/1995	
Autoria: 	BENNETT, S/.	
Afiliação: 	Department of Applied Statistics, University of Reading, Whiteknights, Reading, RG6 2AN UK.	
Título: 	Log-logistic regression models for survival data.	
Ano de publicação: 	1983	
Fonte/Imprenta: 	Appl. Statist., v.32, n.2, p.165-171, 1983.	
Idioma: 	Inglês	
Conteúdo: 	The log-logistic distribution has a no-monotonic hazard function which makes it suitable for modelling some sets of cancer survival data. A log-logistic regression model is described in which the hazard functions for separate separate samples coverge with time. This also provides a linear model for the log odds on survival by any chosen time. The model is fitted on GLIM and an example is given of its use with lung cancer survival data.	
Palavras-Chave: 	Glim; Hazard rate; Linear logistic model; Log-logistic distribution; Survival data.	
Thesaurus Nal: 	odds ratio.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Mandioca e Fruticultura (CNPMF)	
Exemplares: 	CNPMF - (15947-1) - ADC - SP - -- - S7569 -  - S7569 - DIS