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PubMed · 8961460

Non-parametric methods for comparing multiple treatment groups to a control group, based on incomplete non-decreasing repeated measurements.

C S Davis
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Abstract

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.

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Chi-Square DistributionConfidence IntervalsControlled Clinical Trials as TopicHumansNeoplasm Recurrence, LocalReproducibility of ResultsResearch DesignStatistics, NonparametricUrinary Bladder NeoplasmsComparative StudyJournal Article

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C S Davis. 1996-12-15. Non-parametric methods for comparing multiple treatment groups to a control group, based on incomplete non-decreasing repeated measurements.. https://doi.org/10.1002/(sici)1097-0258(19961215)15%3A23%3C2509%3A%3Aaid-sim383%3E3.0.co%3B2-v

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