Non-parametric methods for comparing multiple treatment groups to a control group, based on incomplete non-decreasing repeated measurements.
In the comparison of two or more treatment groups to a control group, consider a study with non-decreasing repeated measurements of the same characteristic taken over a common set of time points for each subject. Based on the vector of possibly incomplete responses from each subject, this paper considers asymptotically distribution-free tests of the equality of the groups. I propose consistent point estimators of the overall treatment differences and I derive non-parametric simultaneous confidence regions for the treatment effects. An example using data from a bladder cancer study illustrates the proposed methods.
Davis
C S
CS
Department of Preventive Medicine, University of Iowa, Iowa City 52242, USA.
D016009:Chi-Square Distribution; D016001:Confidence Intervals; D018849:Controlled Clinical Trials as Topic / Q000379:methods*; D006801:Humans; D009364:Neoplasm Recurrence, Local / Q000473:pathology / Q000517:prevention & control; D015203:Reproducibility of Results; D012107:Research Design; D018709:Statistics, Nonparametric; D001749:Urinary Bladder Neoplasms / Q000473:pathology / Q000628:therapy