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Pathology Flow Cytometry Facility PowerPoint Presentation
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Pathology Flow Cytometry Facility

Pathology Flow Cytometry Facility

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Pathology Flow Cytometry Facility

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    6. When are cells positive?

    7. Basic KS comparisons are too sensitive to distinguish real from instrument variation

    9. The Mann-Whitney U test: a simple test for reproducibility Mann-Whitney U test will be generally applicable wherever you want to compare univariate distributions for a test sample and a control sample If the ranges do not overlap, you only need 3 samples of each to get p<0.05 Overlapping ranges require more samples but for example median FI Controls test

    10. Where inter- experiment variability is too high, the Wilcoxons signed rank test will still deliver significance at 5% for 5 pairs of samples Provided that which the control value is always lower than the test sample within each experimental pair

    11. A comparison of multiple treatments

    12. An example of Friedmanns test

    13. Median GFP fluorescence

    14. Convert these to Ranks within each experiment

    16. Dunns Post test for pairwise comparison

    19. Use common sense Biological significance not statistical significance Compare like with like Reduce heterogeneity as far as possible Use non-parametric tests Mann-Whitney Wilcoxons Friedmann + Dunns Clear, reproducible cytometry data does not need stats; but if pushed you can risk using parametric stats with care