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After correcting for grey matter density, age and gender, we compared the network-wise PiB-uptake between prodromal Alzheimer's disease and control subjects (with ANOVA and two-sample t-tests).
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For both genders, we compared individuals with LL genotypes to individuals carrying an S-allele (LS + SS genotypes) using Student's t-tests and Mann-Whitney U tests.
To additionally account for the age and gender effects, we compared a matching school sample to this "clinical" delinquent sample of boys over 14 years and found similar effect sizes (see Table 3).
We used multivariate pattern analysis (MVPA; e.g. Haynes & Rees, 2005; Kamitani & Tong, 2005, 2006; Walther et al., 2009; Smith & Muckli, 2010; Chiu et al., 2011) to determine if the remaining ('non-diagnostic') regions of V1 can decode expression and gender, and we compared this with the decoding performance in each of the target subregions of V1.
Then separately for each racial-ethnic group within gender, we similarly compared cause-specific comorbidity prevalences across these age groups.
In order to understand the effect of the benzene exposure by gender and age we compared the outcomes by gender as well as by age groups (<40 years and ≥ 40 years).
To assess the extent to which Wikipedia suffers from potential gender bias, we compare biographies about men and women in Wikipedia along the following dimensions: external and internal global notability, topical and linguistic presentation, structural position, and meta-data presentation.
Applying the LeaderXXchange methodology to track companies' intentions and outcomes on gender diversity in leadership, we compared 1,385 listed companies in the United States, Canada and France, which adopted a board gender quota several years ago.
We compared gender differences in 248 chronic schizophrenic patients (male/female = 185/63) to 188 healthy controls (male/female = 98/90) on the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and serum BDNF.
With PIRLS 2006 and PISA 2009 data, we compared gender variability and differences at the extreme tails for the whole samples and for sub-samples of expected age and grade.
Of the student identities we compared, gender had the most support for being in the best model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com