Multivariable analysis including variables significantly associated with death was performed using a Cox proportional hazard model with VAP as a time-dependent variable.
In a multivariable analysis including race and Framingham risk score, race remained an independent predictor of all measures of subclinical vascular disease; however, models with race and the ASCVD risk score showed that race was not an independent predictor of subclinical vascular disease.
Potential factors not statistically associated with HIV-infection in the multivariable analysis included male circumcision and sex in the last 12 months.
We next performed multivariable analysis including the prognostic factors age, gender, pT, pN pM stage as well as post-operative therapy and determined the added benefit of stratifying patients with tumors with higher amounts of CD8+ TILs by TIA-1.
Logistic regression was used to calculate odds ratios and the multivariable analysis included gestational age at sample collection, smoking, maternal age, race or ethnic group, body mass index and study treatment group (i.e., aspirin or placebo).
23 Overadjustment would occur if multivariable analysis included intermediate variables.
Risk factors identified in multivariable analysis included low vegetation density and highway proximity.
Even though, we found no change after multivariable analysis including co-existence of diabetes.
Therefore, multivariable analysis included all variables with a P value <0.30.
Multivariable analysis included adjustment for gender, age (>/≤65 years), Dukes class, differentiation grade (G1/2 vs G3/4).
