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Interactions of the spline for gender were added and tested to investigate differences in trends for genders.
Age and gender were added as covariates.
Maternal smoking, education, ethnicity, BMI, parity and child gender were added to the model (missing due to non-response in 12.6, 9.0, 5.4 and <2 %, respectively).
Besides Breslow's tumour thickness and Clark's level, ulceration, location of the primary tumour, age and gender were added for statistical analysis.
In order to calculate gender and birth order specific birthweight percentiles, birth order (1 or 2+) and fetal gender were added to the polynomial equation.
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Third, teachers' gender was added to the moderation analyses, resulting in models with three single predictors (Age, gender, and CSE), three two-way interactions (Age × gender, Age × CSE, and gender × CSE), and a three-way interaction term (Age × gender × CSE).
This in fact is investigated in the study by Etain et al. (2013a), who find that when gender is added as a covariate in the analysis the results between childhood trauma and the clinical features of BD remain significant, thereby indicating an additive effect of gender, as well as a gender non-specific effect of childhood trauma on clinical characteristics in BD (Etain et al. 2013a).
And again, all these numbers multiply when factors like race and gender are added to the mix for LGBT people and their families.
Gender was added as a between subjects factor in the repeated measures ANOVA, but no significant differences were found across gender groups, F (1, 8) = .47, p = .51.51
Gender was added to this model and propensity scores were then calculated [ 14].
In models where the number of cigarettes per day was used, gender was added as a fixed factor.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com