Two variables remained in the model, gender and practice size.
The independent variables were entered stepwise into the model: gender, age, interaction between gender and age, and finally, BMI.
After including ethnicity, social class and age band in the model, gender was no longer a significant factor.
In this model hearing, gender, and condition were included as fix variables, and participant nested within hearing and gender was included as a random variable.
Patient-level predictors in this model included gender, age at discharge, diagnosis, and during-treatment change in ADL and IADL.
This model used gender and age-specific sexual behavior characteristics (e.g., partner acquisition rates, mixing between age groups) as risk factors for HPV infection.
In this model GP gender showed no association with high rates of MDMs and the effect of several sociodemographic list population variables decreased or was eliminated.
This model included gender, birth year, year or pseudo-year of diagnosis, place of residence (five categories), educational status (four categories), and exposure variables identified in a three-step selection process.
In this model, variables GENDER and RACING SPEED turned out to be no longer significant; similarly, the estimate of the variance of the random effect DRIVER is null, making the influence of the driver effect essentially disappear.
