The time variable for the proportional hazards model was age, and all models included hire year and year of birth.
Exploration of the age specific beta-coefficients suggested that the effect varied exponentially with age; the best fit model was age to the power of 2.38.
The time scale for the left truncated survival model was age (months), which was additionally stratified by calendar time in two year groups.
The base model was age and sex adjusted, and subsequent models included potential mediators (model 1 added census-based, block-level median income to the base model, and model 2 added BMI and systolic blood pressure to model 1).
The model was age-structured (0 4, 5 13, 14 17, 18 23, 24 52, 53 64, 65+) and age-specific mixing patterns were based on empirical data from Mossong et al. [ 30].
Variables included in the multivariate model were age, gender, race, SES, and MOI.
The covariates of the final model were age, sex, BMI, ethnicity, SES, and cohort.
The dependent variable was "lymph node involvement", and the independent variables for the first dataset model were age, pathology, size, and subtype; the independent variables for the second dataset model were age, pathology, and size.
The possible confounders included in the model were age, ethnicity, gender, baseline CD4 cell count, and log transformed VL.
These results suggest that the effects of p27 in this model are age dependent and as the animal ages, the extent of T cell hyperplasia becomes more pronounced.
The five most frequent included variables in the final model were age, body mass index, bone mass index, past history of falls, and maternal history of fractures.
