Statistical analysis

TB Tarek Bekfani
JN Jenny Nisser
SD Steffen Derlien
AH Ali Hamadanchi
EF Elisabeth Fröb
GD Gudrun Dannberg
ML Michael Lichtenauer
US Ulrich C. Smolenski
GL Gabriele Lehmann
SM Sven Möbius‐Winkler
PS Paul Christian Schulze
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All data and statistics are reported as mean ± standard deviation (n ± SD) for continuous normally distributed data or as median and interquartile range [25–75%] for variables that were not normally distributed, respectively. Categorical data were summarized by percentages. The χ 2 test was used to look for trend for categorical variables and Kruskal–Wallis test was applied for not normally distributed data, respectively. Analysis of variance (ANOVA), Pearson's, or Spearman simple regression were used as appropriate. Variables perceived as clinically important and those with P < 0.1 in univariate analyses were included in the multivariate model. A two‐tailed P‐value <0.05 or 0.0167 for post hoc comparisons indicates statistical significance. The Statistical Package for Social Sciences software (SPSS 26, IBM, Armonk, USA) was used for statistical analysis.

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