As described in the Methods, we subsequently used linear mixed models to evaluate simultaneously the effects of aspirin exposure, gender, quartile, and their interaction on each metabolite level.
4 Likewise, in a recent study of 339 eyes of 332 participants with GDD surgery including 28 eyes with GDD exposure, gender was not associated with likelihood of exposure.
We assessed the significance of the effects of aspirin exposure, gender, and quartile on metabolite level using linear modeling and linear mixed modeling in GenStat 14th edition (VSN International, Hemel Hempstead, UK).
For each patient, age, asbestos exposure, gender, histology, stage, Eastern Cooperative Oncology Group Performance Status (ECOG-PS), Charlson Comorbidity Index (CCI) (Charlson et al, 1987) and treatment modalities were analysed and correlated to overall survival (OS).
We explored potential effect modification by adding the following multiplicative interaction terms to each model: gender × ETS exposure, gender × current asthma, ETS exposure × current asthma, race × ETS exposure, and race × current asthma.
The complexity of the causal relations between exposure to environmental agents, their interactions, as well as the role played by host factors such as age at exposure (e.g., in utero exposure), gender, and polymorphisms of genes involved in the activation-detoxification of xenobiotics, cell cycle, in DNA repair and apoptosis, is not taken into account in current legislation.
In regression analysis with exposure-gender interaction terms, however, the interaction was not statistically significant.
First, the high degree of collinearity between traumatic exposure and gender prohibited examination of gender-specific interactions via multivariate regression.
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).
This means that although exposure and gender (hypothetical example) or LABA use and cardiovascular co-morbidity status or gender (clinical example) were marginally independent, they were dependent conditional on age, because both were related to age.
Thus, we might postulate an approach adapted to the cancer risk, i.e. based on organ doses, the age at exposure and gender.
