The measurement profiles from the categorical latent variable analysis showed significant variation in functioning and quality of life despite similar levels of psychopathology.
Using multivariate regression analysis, significant variables (P <.05) associated with cost of hospitalization were number of operative procedures, ventilatory days, male gender, and length of stay.
In the case of separate studies using the same study cohort for the analysis, significant variables in both studies were counted only once.
To improve clinical utility, before entering into the multivariate analysis, significant continuous variables were converted into binary variables by using the overall median value as the cutoff.
By multivariate analysis, significant prognostic variables were found to be the time to first metastasis (P = 0.006), and ploidy (P = 0.011).
By multivariate analysis, significant prognostic variables were found to be histological type (P = 0.0008), tumour size (P < 0.0001) and DNA ploidy (P = 0.0038).
Among demographic variables, analysis reveals a significant p-value=0.001 p-value=0.001lationship between age and likelihood to quit, whereby the younger (18–25 yearelationshipr (more than 55 years) were more likely to quit than other age groups.
Although we showed that patients admitted during morning rounds had higher crude ICU and hospital mortality, the association with ICU mortality remained after adjustment in multi-variable analysis; however, there was no significant association with hospital mortality.
To assess potential confounding variables, we entered variables significant in univariate analysis (P<0.05, to limit type I error) into multivariate analyses and retained them if they were significant; all the univariate variables were then tested in the model and any further significant variables retained.
All 15 texture analysis variables yielded significant or highly significant results for the homeopathic treatment.
