协方差分析
方差分析
统计
协变量
相似性(几何)
样本量测定
数学
协方差
置信区间
单因素方差分析
重复措施设计
计量经济学
计算机科学
人工智能
图像(数学)
作者
Brett A. Martini,Ping Ji,Jiang Liu,Jan‐Shiang Taur,Jianmeng Chen,Suresh Doddapaneni,Chandrahas Sahajwalla,Sarah J. Schrieber
摘要
The aim of this study was to evaluate the impact of demographic covariates on pharmacokinetic (PK) similarity assessment. A total of 30 PK similarity studies were analyzed to compare the use of analysis of covariance (ANCOVA) and analysis of variance (ANOVA). Trial simulations were conducted to further compare the two statistical approaches by varying sample size and covariates. Our analyses showed that ANCOVA and ANOVA were generally comparable in establishing PK similarity between the two products in the PK similarity studies. However, ANCOVA was observed to produce narrower confidence intervals and thus demonstrate higher power, particularly when the sample size was small.
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