Regression models controlled for confounders and analyzed physician-to-physician variability.
A series of models controlled for factors in a linear fashion against the saturated design.
Again, all of these models controlled for gender, age, whole-brain volume, and parental education.
All models controlled for wealth, education, caste, occupation, urbanicity, religion, marital status, and age.
Models controlled for potentially confounding variables, including baseline demographic characteristics and biological/clinical measures (listed in Table 1), and time dependent behavioral and biological measures.
In models controlled for age, gender, and TP53 immunohistochemical staining intensity of the tumor, only HOXB2 promoter methylation demonstrated an independent association with invasive tumors (Table 2).
Adjusted models controlled for age, gender, race, smoking, and BMI.
Random effects longitudinal regression models controlled for autocorrelation and weather.
Models controlled for age, gender, education and ethnicity.
All models controlled for age at the baseline survey.
All of the models controlled for time trends in mortality.
