Parameters entered into model: Gender, education, economic status, father's job, parental interest in weight, father's body shape, mother's body shape.
Confounding factors tested but did not remain in the final model: gender, education, injury severity Interactions were tested and one interaction (co-morbid health conditions by self employed worker) met the criteria to remain in the model.
Relative hazards (RH) of dying were controlled in models including gender, education, medical and mental health, social relations, help given and received, and health behaviour.
She used antecedents like the personality traits, role model, age, gender, education, and experience to predict the social entrepreneurial intention.
The final model included gender, education, baseline and follow-up CD4 cell count, and baseline GDS.
Covariates entered into the models were age, gender, education, and language of administration.
Finally, some biologically plausible interactions with cognitive severity at the start of treatment or with time in the study were included in the models, that is, gender, education, age, and functional ability at baseline.
Lastly, some biologically plausible interactions with disease severity at the start of treatment or with time in the study were included in the mixed-effects models; these were gender, education, age and APOE genotype.
The model covariates were gender, education, age at BRSD assessment, baseline MMSE score, duration of illness, and baseline CDR score.
This model included age, gender education and the presence of APOE ϵ4 allele in addition to the studied biomarker.
