For the reproductive and hormonal exposures, we modeled age, age at menarche and age at menopause as continuous variables to minimize the number of parameters in the model.
Heritability estimates were calculated while simultaneously modeling age, age, and sex, although very similar heritability estimates were obtained in unadjusted models for all patterns except PC1 which exhibited decreased heritability when covariates were omitted (results not shown).
The model estimation procedure is executed via GAUSS 8.0 [36].Thexplanatoryry variables tested for the cross-sectional binary logit model include age, age square, gender, years of driving experience, driver type, expressway use frequency, travel time saving, cause of expressway delay, and number of traffic lights on the arterial road.
a Fully adjusted model including: age, age at smoking onset, Education,.
a Fully adjusted model including: age, age at smoking onset, education, occupational classification, place of residence, Religiosity, awareness of smoking health consequences.
The risk factors in this model include age, age at menarche, age at first live birth, number of previous biopsies, presence of atypical hyperplasia on biopsy, and number of first-degree relatives with breast cancer.
The preoperative, intraoperative and early postoperative variables with a p value less than 0.1 were entered into the logistic model, including age, age distribution, weight, positive fluid balance after CPB, TP and pGSN before CPB.
FCOR cannot handle the effect of covariates, and thus for height, BMI, log TG, TCHL, HDL, LDL, SBP, and DBP, we calculated the residuals from the linear model with age, age, and sex as covariates.
Base model includes age, age, sex, income quintile, and geography CDS = Chronic Disease Score Δ c = difference in the c-statistic between the base and full models; c-statistics in boldface font are significantly different from the c-statistic for the base model, according to the method of DeLong et al. [ 39] Results for the age-restricted cohorts were similar to the results for each full cohort.
The OR for risk of developing type 2 diabetes was calculated using logistic regression, assuming an additive genetic model, adjusted for age (age of diagnosis for cases and age at participation for controls), sex and BMI.
