Tests of proportional hazards and proportional odds models for grouped survival data
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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Data(s) |
20/05/2014
20/05/2014
01/12/2000
|
Resumo |
In this paper, we derive score test statistics to discriminate between proportional hazards and proportional odds models for grouped survival data. These models are embedded within a power family transformation in order to obtain the score tests. In simple cases, some small-sample results are obtained for the score statistics using Monte Carlo simulations. Score statistics have distributions well approximated by the chi-squared distribution. Real examples illustrate the proposed tests. |
Formato |
1233-1240 |
Identificador |
http://dx.doi.org/10.1111/j.0006-341X.2000.01233.x Biometrics. Washington: International Biometric Soc, v. 56, n. 4, p. 1233-1240, 2000. 0006-341X http://hdl.handle.net/11449/16957 10.1111/j.0006-341X.2000.01233.x WOS:000165872600038 |
Idioma(s) |
eng |
Publicador |
International Biometric Soc |
Relação |
Biometrics |
Direitos |
closedAccess |
Palavras-Chave | #Aranda-Ordaz family #interval censoring #maximum likelihood estimate #regression discrete models #score test |
Tipo |
info:eu-repo/semantics/article |