Model significance was tested using the LRTs termed Test 1.
The trends of temperature are determined and their statistical significance is tested using Mann Kendall trend significant test with the level of significance 0.05 (Z_α/2 = ± 1.96).
The statistical significance was tested using χ-analysis and seven markers displayed significant p values (p < 0.05) (Additional file 2).
For the release assays, unpaired, one-tailed t tests were used and statistical significance was tested using Mann Whitney post hoc test with p<0.05 defined as significant.
Statistical significance was tested using the Student's t-test.
Significance was tested using 1000 permutations with Bonferroni correction applied.
Statistical significance was tested using a paired t-test with studies as replicates.
Significance was tested using one-way ANOVA of peak emission against baseline values.
Statistical significance was tested using two-way analysis of variance with Bonferroni post-test in Prism v5.0 (GraphPad).
Statistical significance was tested using one-way ANOVA followed by Bonferroni method, with p < 0.05 considered statistically significant.
