Exact(6)
Regression models were built in a stepwise manner: Model 1 is unadjusted, model 2 adjusts for age, gender, BMI, smoking, hypertension, serum levels of HDL cholesterol, LDL cholesterol, as well as for statin use, and model 3 for the covariates included in model 2 and, additionally, for serum insulin and plasma glucose as well as for anti-diabetic medication and haemoglobin A1c (HbA1c) levels.
Model 2 adjusts for the network characteristics of the AHLN.
Whereas Model 2 adjusts for temporal autocorrelation, it doesn't correct for the considerable degree of heteroskedasticity present in the data.
Model 2 adjusts for covariates in model 1 plus diabetes mellitus, cardio vascular disease, HbA1c, mean BP.
Model 2 adjusts for other socio-demographic factors associated with the exposure of main interest (three or more social health issues) and the outcome variable (low birthweight) in univariable analyses.
Model 2 adjusts for age and gender, model 3 also adjusts for individual co-morbidity and model 4 replaces co-morbidity with a Charlson score to measure the effect of cumulative co-morbidity burden.
Similar(53)
R 2 adjusted R 2, Pred.
Fig. 2 Adjusted linear motor primitive structure.
Adj.R ^ 2 adjusted R-squared.
Model 2: Adjusted for gender.
Model 2 adjusted for patient case mix.
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