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Phase II trial design with growth modulation index as the primary endpoint.
Wu, Jianrong; Chen, Li; Wei, Jing; Weiss, Heidi; Miller, Rachel W; Villano, John L.
Afiliação
  • Wu J; Division of Cancer Biostatistics, University of Kentucky, Lexington, Kentucky.
  • Chen L; Markey Cancer Center, University of Kentucky, Lexington, Kentucky.
  • Wei J; Division of Cancer Biostatistics, University of Kentucky, Lexington, Kentucky.
  • Weiss H; Markey Cancer Center, University of Kentucky, Lexington, Kentucky.
  • Miller RW; Department of Statistics, University of Kentucky, Lexington, Kentucky.
  • Villano JL; Division of Cancer Biostatistics, University of Kentucky, Lexington, Kentucky.
Pharm Stat ; 18(2): 212-222, 2019 03.
Article em En | MEDLINE | ID: mdl-30458583
ABSTRACT
Molecularly targeted, genomic-driven, and immunotherapy-based clinical trials continue to be advanced for the treatment of relapse or refractory cancer patients, where the growth modulation index (GMI) is often considered a primary endpoint of treatment efficacy. However, there little literature is available that considers the trial design with GMI as the primary endpoint. In this article, we derived a sample size formula for the score test under a log-linear model of the GMI. Study designs using the derived sample size formula are illustrated under a bivariate exponential model, the Weibull frailty model, and the generalized treatment effect size. The proposed designs provide sound statistical methods for a single-arm phase II trial with GMI as the primary endpoint.
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Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Modelos Estatísticos / Ensaios Clínicos Fase II como Assunto / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Modelos Estatísticos / Ensaios Clínicos Fase II como Assunto / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article