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Chip annotation files were obtained from the Broad Institute (Cambridge, MA, USA) website [ 33], and within each data source, expression data were collapsed by gene symbols such that the expression of genes represented by multiple probes was computed as the average across probes.
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The data was collapsed by SUID, using the average value of each probe.
Data were collapsed across sex if there was no sex-by-treatment interaction.
Data were collapsed into the morbidity groups specified by the Johns Hopkins Adjusted Clinical Groups ACGss) Case-Mix System.
Test performance did not differ by session, F 1, 18) = 1.46, p =.24, so the data were collapsed across sessions.
Weather data were collapsed into monthly mean values.
Similar results were obtained when the data were collapsed into non-redundant sequences (data not shown).
Individual patient-level data were collapsed into monthly time series for each unit (panel data).
Each individual's data were collapsed to the mean, which was then used for group analysis.
Where there were no effects of time of day, data were collapsed across this factor.
These values were not significantly different; therefore, these data were collapsed.
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CEO of Professional Science Editing for Scientists @ prosciediting.com