Rank-based regression with repeated measurements data
重复测量数据的秩回归
A rank‐based regression method is proposed for repeated measurements data. It is a generalisation of the classical Wilcoxon–Mann–Whitney rank statistic for independent observations. The method is valid under a weak condition on the error terms that can accommodate certain heteroscedasticity and within‐subject dependency. The asymptotic normality of the proposed estimator is proved using empirical process theory. A variance estimator, shown to be consistent, is also…