AN APPROACH TO THE ANALYSIS OF REPEATED MEASUREMENTS

AN APPROACH TO THE ANALYSIS OF REPEATED MEASUREMENTS
复制标题

DOI:
10.2307/2531727
复制
发表时间:
1988-12-01
期刊:
影响因子:
1.9
通讯作者:
DIGGLE, PJ
DIGGLE, PJ
中科院分区:
数学3区
文献类型:
--
作者:
DIGGLE, PJ

文献摘要

被引文献

相似文献

提出了一种重复测量的线性模型,其中每次测量时间序列内的相关结构包括测量误差、实验单位之间的变异以及单位内的序列相关的参数。提出了一种数据分析方法,该方法包括通过普通最小二乘法进行初步分析,利用残差的经验半变异函数来提出合适的相关结构,以及使用基于似然的方法进行正式推断。描述了在两个生物学数据集上的应用。
A linear model for repeated mesaurements is proposed in which the correlation structure within each time sequence of measurements includes parameters for measurement error, variation between experimental units, and serial correlation within units. An approach to data analysis is presented which involves preliminary analysis by ordinary least squares, use of the empirical semi-variogram of residuals to suggest a suitable correlation structure, and formal inference using likelihood-based methods. Applications to two biological data sets are described.