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Within each of the six multimorbid groups, the regression coefficient was tested for significance differences from their respective reference category with cost allocation as zero (0).
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One or two-factor ANOVA, or the paired student t test was used to test for significance differences between sample categories.
All 336 protein spots were tested for significance of differences between strains, with p-values being corrected by the Benjamini and Hochberg procedure.
We tested for significance using the difference test in Statistica (StatSoft® (Europe) GmbH, Hamburg, German).
Inter- and intra-site group differences were tested for significance using a two-sided t test.
These differences were tested for significance using a simple regression model at 95% confidence and then plotted onto a graph.
Differences were tested for significance using one-way ANOVA followed by Bonferoni's test.
Group differences were tested for significance using a Student's t-test.
Differences were tested for significance at a 5%% significance level.
Differences were tested for significance using t-tests.
Differences were tested for significance using Student's t-test.
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