Statistical analysis

MH Matthias Peter Hilty
DF Daniel Peter Franzen
CW Christophe Wyss
PB Patric Biaggi
MM Marco Maggiorini
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Comparisons of measurements between the control, AS, and DCM groups were performed using independent measures one-way analysis of variance (ANOVA), with group membership as the main factor. Pairwise analysis was performed using pairwise two-sample tests with Benjamini and Hochberg’s correction algorithm [19] applied. Comparisons of volumetric measurements between left ventricular angiography and transpulmonary thermodilution were performed using linear correlation employing Pearson’s product-moment correlation coefficient alongside Bland–Altman analysis [20] with percentage error analysis [21]. A two-sided p < 0.05 was considered statistically significant. For all statistical analysis, a fully scripted and reproducible data management pathway was created within the R environment for statistical computing, version 3.2.2 [22]. Graphical output was generated using the R library ggplot2, version 2.0.0 [23]. Values are given as mean ± standard deviation (SD).

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