Efficient non-parametric sequential procedures for comparing the rates of change of two treatments

Taoufik Zoubeidi, Mustapha Abane

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    Consider a longitudinal experiment where subjects are allocated to one of two treatment arms and are subjected to repeated measurements over time. Two non-parametric group sequential procedures, based on the Wilcoxon rank sum test and fitted with asymptotically efficient allocation rules, are derived to test the equality of the rates of change over time of the two treatments, when the distribution of responses is unknown. The procedures are designed to allow for early stopping to reject the null hypothesis while allocating less subjects to the inferior treatment. Simulations - based on the normal, the logistic and the exponential distributions - showed that the proposed allocation rules substantially reduce allocations to the inferior treatment, but at the expense of a relatively small increase in the total sample size and a moderate decrease in power as compared to the pairwise allocation rule.

    Original languageEnglish
    Pages (from-to)1441-1456
    Number of pages16
    JournalJournal of Statistical Computation and Simulation
    Volume79
    Issue number12
    DOIs
    Publication statusPublished - Dec 2009

    Keywords

    • Data-dependent allocation rules
    • Group sequential tests
    • Longitudinal data
    • Wilcoxon rank sum test

    ASJC Scopus subject areas

    • Statistics and Probability
    • Modelling and Simulation
    • Statistics, Probability and Uncertainty
    • Applied Mathematics

    Fingerprint

    Dive into the research topics of 'Efficient non-parametric sequential procedures for comparing the rates of change of two treatments'. Together they form a unique fingerprint.

    Cite this