The women were divided into four age-defined groups; <25, 25 30, 31 35 and >35 years of age.
The group having no complications then was divided into 2 age-defined subgroups (cutoff, 6 years).
These results are especially pertinent for the assessment of risks in age-defined subpopulations.
To identify covariates for adjusted analysis, we conducted bivariate analysis (for each aforementioned age- and sex-defined group) between the variables described above and the total hip BMD.
We found, for each age- and sex-defined group, that BMD was normally distributed within each blood lead level tercile; further, there was homogeneity of variance of the BMD between each blood lead level tercile.
We decided a priori to introduce age and BMI as covariates into all adjusted analyses for each of the four sex- and race-defined groups.
To achieve the assumption of homogeneity of regression slopes of the continuous covariates for each blood lead level tercile, we log-transformed BMI in the analysis of the non-Hispanic white males; no transformations were required for the remaining age-and sex-defined groups.
The dataset will include the following variables: month and year of discharge, CMG, CIHI-defined age group, hospital, region of residence (HA), length of stay (LOS), ICD-10-CA codes, indicator of death, and Adjusted Clinical Groups (a measure of health status [ 28]).
The purpose of this report is to examine the correlates of quality of life (QOL) of a well-defined group of long-term breast cancer survivors diagnosed between the ages of 40 and 49.
One strategy involves group dynamics, and highlighting the target parent's differences from a well-defined group.
americanus (Saltonstall et al. 2004), constitutes one well-defined group.
