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Qualitative data was explored using a thematic analysis following the guidelines of Braun & Clarke [ 18].
Normal distribution of the data was explored using the Kolmogorv-Smirnov statistic.
This data was explored using RMANOVA in SPSS 21 (IBM, Armonk, NY) software (data not shown).
The effect of different treatments of data was explored using Wilcoxon signed rank test on the values of two relevant parameters, including the estimated rate of molecular evolution for the marker or markers investigated and the estimated age of the ingroup node (TMRCA of Carabus).
Combining cancer registry and self-reported data was explored using the following rules: (a) BC case is correctly reported if both sources concurred for BC diagnosis and (b) BC case is correctly reported if either source (cancer registry or self-report) reported BC diagnosis.
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Publically available microarray data were explored using the Oncomine database [21].
Prior to combined analyses the combinability of the data were explored using incongruence length difference/partition homogeneity test (ILD/PHT) [67], [68] implanted in PAUP.
Qualitative data were explored using NVivo9® software (QSR International Pty Ltd ,Melbourne, Victoria, Australia).
Relationships between behavioural data and conditioning data were explored using Pearson correlation.
These data were explored using descriptive statistics functions in the SPSS.
As a first (and often only) analysis step these data are explored using correlation networks.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com