EFFICIENCY OF COVARIATE ADJUSTMENT IN THE COX MODEL

COX 模型中协变量调整的效率

• 批准号: 3446703
• 负责人: TIMOTHY M MORGAN
• 金额: $ 4.71万
• 依托单位: WAKE FOREST UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1985
• 资助国家: 美国
• 起止时间: 1985-04-01 至 1988-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3446703
• 关键词: mathematical model; mathematics; neoplasm /cancer epidemiology; statistics /biometry

Cancer clinical trials are often subject to misclassification of discrete covariates, measurement errors in continuous covariates, categorization of covariates, model misspecification, and omission of prognositc factors in the analysis. Each of these "errors" increase the variance of the estimate of the treatment effect thereby increasing the required sample size or increasing the level of significance. The aims of the proposed study are to quantify the effect these "errors" have on the precision of the estimate for treatment effect, adjusted for covariates under Cox's proportional hazards model.

癌症临床试验经常受到离散的错误分类 协变量，连续协变量的测量误差，分类 协变量、模型误设和遗漏的统计学因素 的分析。 这些“误差”中的每一个都增加了估计值的方差 治疗效果，从而增加所需的样本量或 提高重要性水平。 拟议研究的目的是 为了量化这些“误差”对估计精度的影响， 对于治疗效应，根据考克斯比例校正协变量 风险模型