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For the secondary outcome measures, we performed a Bonferroni correction to account for multiple t-tests.
To examine familial and shared nest influences on the cognitive measures, we performed a variance partition analysis.
To evaluate the impact of sequential measures, we performed a time-series analysis with a nonsegmented Poisson regression test.
To avoid confounders such as age, smoking, and study site on P50 ERP measures, we performed a stratified analysis of prg‐1 genotype effects.
For quality control of retinal vascular measures, we performed intragrader reliability analysis on 120 randomly selected images to which the grader was masked.
Further, for comparing between groups on neuropsychological measures, we performed a series of analysis of variance (ANOVA) with Bonferroni corrected post hoc comparisons, whenever main analyses reached significance.
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In order to reveal the functional relationship between photoreceptor abundance and the hypocotyl lengths measured, we performed additional mathematical analysis of the model.
In addition to these findings and two confirm the validity of our behavioral complexity measure, we performed two control experiments involving everyday object manipulation tasks: small object ("widget") sorting and box stacking (Figure 6).
Using raw frequencies as the unit of measure, we performed a 2 × 3 log-likelihood chi-square to evaluate whether there were differences in the proportions of major food categories (animals, vegetation and garbage) between fresh and unknown age scats.
To test and further develop the measure, we performed audiorecorded interviews with women aged 18 40 diagnosed with cervical cancer in the previous two years, recruited through two London hospitals.
In an alternative measure, we performed a Fisher's exact test, as a second empirical outlier analysis, combining the Tibetan dogs (TID1 + TID2) as the case population and treating the other lower altitude dogs (CID + DB) as a control group.
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