Here, a model including elevation gained during the migration (model 2), migration distance (model 3), or water temperature (model 4), received only weak support (Table 5).
A one parameter model which constrained gains to be zero was also significantly worse than a model which included gains (16.218, 1 d.f., p<0.025).
Multivariate model includes age, BMI, weight gain, parity, and education.
The model includes time-dependent parameters such as the solar heat gain coefficient and energy system efficiency.
The model includes all of the heat transfer parameters in greenhouses including the heat loss for plant evapotranspiration, and the heat gain from environmental control systems.
The new model includes two components.
The model includes several biological parameters.
This table indicates that the gain-control model can accurately capture the asymptotic values of the exponents of the power function when the model does not include gain control.
The final model included adult weight gain, waist-to-hip ratio together with the rest of the abovementioned variables, except for use of hormonal replacement therapy because this exposure was not associated with MD in our study.
To explore the consistency of the results yielded by using different density scales, the same model, including adult weight gain, waist-to-hip ratio, age, BMI, parity, family history of breast cancer and time since menopause, was fitted using Wolfe's and Tabár's classifications of mammographic density.
