Multivariable logistical regression was controlled for baseline variables related to HIV therapy, HIV viral load, CD4 count, age, sex, weight, tobacco use, viral hepatitis co-infection, history of prior influenza vaccination, and lack of baseline influenza seroprotection (HAI titres ≤10).
Analyses were controlled for baseline values, counselee disease status, education and receiving an indication for DNA testing.
Many of the findings in the unadjusted analyses disappeared when the analyses were controlled for baseline mental health at T1.
The outcomes were controlled for baseline levels (t = 0) if necessary, ap < 0.05 vs insulin aspart, bp < 0.05 vs BIAsp70, cp < 0.05 vs BIAsp50, dp < 0.05 vs human insulin.
Analyses were controlled for baseline levels of disease activity components: C-reactive protein (mg/dl), tender joint count out of 28 joints (TJC28), swollen joint count out of 28 joints, and patient global health.
All analyses will be controlled for differences in baseline characteristics and demographic characteristics.
Any differences would be controlled for as the baseline would be used as a covariate in the subsequent analysis.
As a consequence, we already had insight into pre-disaster health problems and the results of our study could be controlled for pre-disaster baseline values.
Inter-subject variability in baseline hemodynamic measurements was controlled for by considering baseline measurements as covariates.
Models were controlled for confounding by baseline body mass index, CD4 count, age, and gender.
