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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.
Data were explored using dotplot and barplot analysis.
Data were explored using cross-tabulations and frequency distributions.
Correlations between fMRI and MEG data were explored using Spearman's correlation, implemented in SPSS Statistics 20.
These data were explored using descriptive statistics functions in the SPSS.
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This data was explored using RMANOVA in SPSS 21 (IBM, Armonk, NY) software (data not shown).
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.
As a first (and often only) analysis step these data are explored using correlation networks.
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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