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For both analyses, we used the JMP statistics software (SAS Institute).
For both analyses, we used the Hasegawa-Kishino-Yano model [ 104] and the Infinite Sites mutation model for the mitochondrial and nuclear markers, respectively.
If the assumptions of the model were violated in both analyses, we used the Mann Whitney test to compare the intervention groups.
We performed two Cox proportional hazard models [ 18] with the results presented as hazard ratios (HR) with 95%% confidence intervals (CI), and in both analyses, we used age as a time-dependent covariate.
In both analyses, we used independent evidence to calibrate nodes and estimate the timing of the origins of herbivory, and we evaluated nodes for statistical support (supplementary materials and methods, Supplementary Material online).
If the P value of the score test of the proportional odds assumption was <0.05 in both analyses, we used a non-parametric test (Mann Whitney) to compare the groups.
Similar(52)
For both analyses, we use the binary responses to the "enough time for difficult ideas" question as the outcome and consider a number of questions from the student and instructor beginning- and end-of-term surveys related to the potential explanatory factors.
In both decoding analyses, we used undersampling after artefact rejection (i.e. for the category with more trials we randomly selected the same number of trials as available in the smallest category).
For both phylogenetic analyses, we used Mus musculus epidermal growth factor receptor (EGFR) as outgroup.
For both genotyping analyses, we used previously sequenced genomic DNA samples as positive controls for the homozygous wild-type, heterozygous, and homozygous variant genotypes with every PCR analysis to verify reproducibility of the assay and to confirm accuracy of genotype classifications.
For both molecular-clock analyses we used the normal distribution to set the calibration prior, with the mean at the estimated age, and the 95% interval included following the range provided by Near et al. [ 33].
Related(20)
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