Selected article for: "normal distribution and statistical analysis"

Author: Daniela Weiskopf; Katharina S. Schmitz; Matthijs P. Raadsen; Alba Grifoni; Nisreen M.A. Okba; Henrik Endeman; Johannes P.C. van den Akker; Richard Molenkamp; Marion P.G. Koopmans; Eric C.M. van Gorp; Bart L. Haagmans; Rik L. de Swart; Alessandro Sette; Rory Dylan de Vries
Title: Phenotype of SARS-CoV-2-specific T-cells in COVID-19 patients with acute respiratory distress syndrome
  • Document date: 2020_4_18
  • ID: 97gme3pl_35
    Snippet: Statistical analysis. For comparison of CD3 + T-cell percentages, CD4:CD8 ratios, CD69 + CD137 + stimulated T-cells and cytokine levels between HC and COVID-19 patients all log transformed data was tested for normal distribution. If distributed normally, groups were compared via an unpaired T test. If not distributed normally, groups were compared via a Mann-Whitney test. Two-tailed p values are reported throughout the manuscript. One way ANOVA r.....
    Document: Statistical analysis. For comparison of CD3 + T-cell percentages, CD4:CD8 ratios, CD69 + CD137 + stimulated T-cells and cytokine levels between HC and COVID-19 patients all log transformed data was tested for normal distribution. If distributed normally, groups were compared via an unpaired T test. If not distributed normally, groups were compared via a Mann-Whitney test. Two-tailed p values are reported throughout the manuscript. One way ANOVA repeated measures was used to test for linear trend over sequential time points (0, 7 and 14 days post inclusion).

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