Nonparametric estimation and testing in a cure model.
Biometrics
; 48(4): 1223-34, 1992 Dec.
Article
em En
| MEDLINE
| ID: mdl-1290799
ABSTRACT
Nonparametric generalized maximum likelihood product limit point estimators and confidence intervals are given for a cure model with random censorship. One-, two-, and K-sample likelihood ratio tests for inference on the cure rates are developed. In the two-sample case its power is compared to the power of several alternatives, including the log-rank and Gray and Tsiatis (1989, Biometrics 45, 899-904) tests. Implications for the use of the likelihood ratio test in a clinical trial designed to compare cure rates are discussed.
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Base de dados:
MEDLINE
Assunto principal:
Funções Verossimilhança
/
Ensaios Clínicos como Assunto
/
Modelos Estatísticos
Tipo de estudo:
Clinical_trials
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
1992
Tipo de documento:
Article