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Thread: Repeated measures analysis for Non-parametric data

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    Repeated measures analysis for Non-parametric data




    Hi everyone,

    I have a dataset that looks something like this:

    Patient.....Group.............Score_day1......Score_day2.....Score_day3
    1.............control.............10.................12..................11
    2.............intervention......14..................15.................15
    3.............intervention......15..................13.................16
    4.............control.............8...................9....................9
    5...
    6...

    I would like to determine if there is a significant difference in scores between groups, over time.

    Repeated measures ANOVA isn't an option because my data are non-normal.

    Someone recommended the Friedman Test to me as a non-parametric alternative, but my understanding of the Friedman Test is that I will not be able to compare the control group vs. intervention group. Is my understanding accurate?

    Can anyone recommend a test for non-parametric, repeated-measures data that will compare my two groups?

    Thanks in advance for any suggestions you have,
    Andrew

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    Re: Repeated measures analysis for Non-parametric data


    Please find some answers to your question in the following book and papers:

    Brunner, E., Domhof S. and Langer, F. (2002). Nonparametric Analysis of Longitudinal Data in Factorial Designs. Wiley, New York. (unfortunately out if print).

    Brunner, E. and Puri, M.L. (2001). Nonparametric Methods in Factorial Designs. Statistical Papers 42, 1-52.

    Noguchi, K., Gel, Y., Brunner, E. , Konietschke, F. (2012). nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments. Journal of Statistical Software 50, Iss. 12.

    Shah, D.A. and Madden, L.V. (2004). Nonparametric Analysis of Ordinal Data in Designed Factorial Experiments. Phytopathology 94, 33-43. Electronic Appendix: Instructions on the Use of Software and Applications (e-extra).

    Kind regards,
    Edgar Brunner

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