On the relative conservativeness of Bayesian logistic regression method in oncology dose-finding studies.
Pharm Stat
; 23(4): 585-594, 2024.
Article
em En
| MEDLINE
| ID: mdl-38317370
ABSTRACT
The Bayesian logistic regression method (BLRM) is a widely adopted and flexible design for finding the maximum tolerated dose in oncology phase I studies. However, the BLRM design has been criticized in the literature for being overly conservative due to the use of the overdose control rule. Recently, a discussion paper titled "Improving the performance of Bayesian logistic regression model with overall control in oncology dose-finding studies" in Statistics in Medicine has proposed an overall control rule to address the "excessive conservativeness" of the standard BLRM design. In this short communication, we discuss the relative conservativeness of the standard BLRM design and also suggest a dose-switching rule to further enhance its performance.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Teorema de Bayes
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Ensaios Clínicos Fase I como Assunto
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Dose Máxima Tolerável
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Relação Dose-Resposta a Droga
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Antineoplásicos
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article