We decided to show the model when adjusted for age, gender, number of visits, year of entrance and mental disorders.
MDSC level retained statistical significance in the multivariable model when adjusted by the effects of other prognostic factors.
The level for confounders to be removed from the model when adjusted for variables already in the model (p-to-remove) was set to >0.1.
Cormier et al. demonstrated a significant survival benefit for 71 MUP patients in a multivariate Cox proportional hazard model when adjusted for nodal status, dissection site, age, gender and adjuvant therapy as well (P = 0.006).
Living without legal status displayed a significant negative effect on subjective mental and physical health (p ≤ 0.003) in the generalized linear model when adjusted for age and gender compared to the representative German population sample.
The percentage of patients with WBC counts less than 4,000/μl or more than 12,000/μl was not statistically different between the two groups in either the univariate model (53.1% vs. 51.7%; P = 0.91) or the multivariate model when adjusted for trauma and mechanical ventilation (P = 0.43).
Multiple linear regression analyses with measured GFR as a dependent variable are reported in Table 2. FPG, HbA1c, fasting insulin, and HOMA-IR were positively associated with GFR in separate models when adjusted for age, sex, weight, height, diastolic BP, current smoking, and use of ACE inhibitors or ARB.
In the multivariate COX regression model, when adjusted for initial clinical data set (eGFR, MAP, and proteinuria), none of these pathologic lesions were shown to be independent risk factors of unfavorable renal outcome except for T (HR 2.9, 95%CI 1.0-7.9, P = 0.04).
There was no difference in the interpretation of the radiotherapy centre models when adjusting for cross classification.
Results were confirmed by using Cox proportional hazards models when adjusting for the baseline value of score, country and primary tumour type (Table 3).
