Optimal Bayesian design for patient selection in a clinical study.
Biometrics
; 65(3): 953-61, 2009 Sep.
Article
en En
| MEDLINE
| ID: mdl-19021600
Bayesian experimental design for a clinical trial involves specifying a utility function that models the purpose of the trial, in this case the selection of patients for a diagnostic test. The best sample of patients is selected by maximizing expected utility. This optimization task poses difficulties due to a high-dimensional discrete design space and, also, to an expected utility formula of high complexity. A simulation-based optimal design method is feasible in this case. In addition, two deterministic algorithms that perform a systematic search over the design space are developed to address the computational issues.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Ensayos Clínicos como Asunto
/
Modelos Estadísticos
/
Teorema de Bayes
/
Biometría
/
Evaluación de Resultado en la Atención de Salud
/
Selección de Paciente
/
Modelos Biológicos
Tipo de estudio:
Clinical_trials
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Biometrics
Año:
2009
Tipo del documento:
Article
País de afiliación:
Estados Unidos
Pais de publicación:
Estados Unidos