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Because no differences were observed between male and female flies in CO2 production, we pooled male and female data for statistical analysis.
Male and female data for each array feature were allowed to cluster independently such that male and female data for a given gene may group into separate clusters.
We also run the EM algorithm for the female data for J = 1, …, 10.
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We also tried to address social desirability bias by assigning male data collectors for male subjects and female data collectors for female subjects.
The same set of X-linked genes yielded a median ratio of 0.59 in females, again considerably lower than the median ratio of the entire female data set for stratum I (i.e., 0.89).
As no Gender effect was observed, male and female data were pooled for the partial comparisons.
Because gender did not interact with genetic diversity, male and female data were combined for further analyses.
In the event that there was no trend toward a significant sex difference or interaction, male and female data were combined for subsequent QTL mapping and genetic correlations.
In all analyses, we tested male and female data separately, even for traits that are shared across sexes (i.e. body mass and pronotum width).
Male and female data were combined for condom nonuse analyses because prior bivariate analyses stratified by gender indicated that the direction and magnitude of all independent variables were similar for men and women.
Except for cliff-drop aversion reflex, no differences between sexes were detected in the statistical analysis, and therefore, the male and female data were pooled for the analysis of all the developmental landmarks and the rotating rod reflex.
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CEO of Professional Science Editing for Scientists @ prosciediting.com