Leveraging Historical Data for High-Dimensional Regression Adjustment, a Composite Covariate Approach
利用历史数据进行高维回归调整:复合协变量方法
The amount of data collected from patients involved in clinical trials is continuously growing. All patient characteristics are potential covariates that could be used to improve clinical trial analysis and power. However, the restricted number of patients in phases I and II studies limits the possible number of covariates included in the analyses. In this paper, we investigate the cost/benefit ratio of including covariates in the analysis of clinical trials. Within this…