The first adjusted model incorporated age group (18 29, 30 39, 40 49, 50+), gender, and continuous average daily dose measure.
Multiple linear regression analysis, using a forward stepwise selection procedure, was performed and the best-fitting model incorporated age (P < 0.01) and family status (P < 0.05) as significant predictors of WTP, providing an explanatory power of 8.1%.
The conventional risk model incorporated age, sex, education, cognition, physical function, lifestyle (smoking, alcohol use), health (cardiovascular disease, diabetes, systolic blood pressure), and the apolipoprotein genotype (C statistic for discrimination performance was 0.77, 95% confidence interval 0.71 to 0.82).
These models incorporated age, gender and late HIV diagnosis or advanced HIV disease as fixed covariates, and the most recent CD4 T cell count (late ICU admissions only) and use of cART as time-updated covariates.
To generate individual-specific profiles of child POPs concentrations (e.g., see Supplemental Material, Figure S1B), the pharmacokinetic model incorporated maternal age, prepregnancy weight, gestational age, sex, child's weight at birth and several time points, and total breastfeeding duration (exclusive/partial).
The model incorporated 23 age groups, ranging from birth to 85 y or older.
This model incorporated maternal age, hospital of birth, year of birth, deprivation (quintiles of the distribution of Townsend scores), and the sex of the baby.
The previously published CUETO model incorporated gender, age (<60, 60 70, >70), recurrent tumour, number of tumours (⩽3 or >3), T stage (Ta or T1), concomitant carcinoma in situ, and grade (G1, G2, and G3).
Single-locus tests of association were performed in PLINK using linear regression analysis that assumed an additive genetic model and incorporated age, sex, and PAD case-control status as covariates [12].
In the clinical model, we incorporated age, sex, complications of diabetes and sepsis, medical admission, and serum creatinine.
Continuous NRI and IDI revealed that the biomarkers that are less influenced by sepsis TIMP-2, NAG and EPO—improved prediction of sepsis TIMP-2 the septic populatioNAGhen andEPO improvedinical model, which incorpredictione, sex, cofplication of diabetesevereicAKIadminsion and serum creatheine.
