A visualization of cross-over data using linear functions

作     者：Miller, WE 

作者机构：NIOSH Ctr Dis Control & Prevent Morgantown WV 26505 USA 

出 版 物：《STATISTICS IN MEDICINE》 (医学统计学)

年 卷 期：1999年第18卷第8期

页      面：975-987页

核心收录：

学科分类：0710[理学-生物学] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 1001[医学-基础医学(可授医学、理学学位)] 0714[理学-统计学（可授理学、经济学学位）] 10[医学] 

主　　题：Clinical Protocols Cross-Over Studies Linear Models Blood Glucose Insulin 临床方案 交叉研究 线性模型 Visualization Cross-Over Studies outliers interaction effect Insulin Clinical Protocols linear models Blood Glucose linear function 

摘      要：Previous work has shown that cross-over trial data can be analysed using within-subject linear functions. Scores that result from linear functions are graphed in quantile comparison plots in order to visualize the differences between factor levels. An example suggests how this visualization can be used to identify outliers or to provide a more specific interpretation of results. Additional examples indicate how this approach can be used to track carry-over differences or interaction effects. This article is a US Government work and is in the public domain in the United States.