Computational protocol: In vivo application of Granulocyte-Macrophage Colony-stimulating Factor enhances postoperative qualitative monocytic function

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Protocol publication

[…] Data were expressed according to their scaling as arithmetic mean ± standard deviation (SD), median [25%, 75% quartiles], or frequencies [%], respectively. After exploratory data analysis, all tests were accomplished by means of non-parametric exact statistical tests. Basic patient characteristics and post intervention characteristics were evaluated for group differences using the exact Mann-Whitney test for continuous variables and Fisher's exact test for categorical variables. Changes in interesting clinical outcomes with respect to time were analyzed using multivariate nonparametric analysis of longitudinal data in a two-factorial design (1st factor: groups, 2nd factor: repetitions in time) (nonparametric MANOVA for repeated measures). Therefore, we compared all time points simultaneously on the corresponding response curves. This analysis proves hypotheses about group differences between GM-CSF and placebo, systemic changes in time, and interactions between groups and time, as well as tests for systemic time changes for every treatment separately. In cases of relevant differences at baseline, a multivariate nonparametric analysis of covariance (MANCOVA) for repeated measures with the baseline as covariate was applied.After such global tests over time domain, differences in immune cells and cytokines were ascertained with univariate post-hoc analyses to detect specific differences with respect to groups for fixed times (exact Mann-Whitney tests). A two-tailed p-value < 0.05 was considered statistically significant. All tests should be understood as constituting exploratory data analysis, such that no adjustments for multiple testing have been made. Numerical calculations were performed with IBM© SPSS© Statistics, Version 23, and SAS™ (Version 9.1) software and The R Project for Statistical Computing, Version 3.0.2 (2013-09-25), Copyright (C) 2013 The R Foundation for Statistical Computing. […]

Pipeline specifications

Software tools SPSS, The R Project for Statistical Computing
Application Miscellaneous
Organisms Homo sapiens