For each of the cognitive domains and overall cognition, for Hp 1-1 and Hp 2 carrier groups separately, stepwise multiple regressions evaluated the collective association with the seven cardiovascular risk factors, controlling for the demographic predictors.
Stepwise variable selection in logistic regression evaluated relative value of four test domains for separating MCI from HC. Functional Activities Questionnaire (FAQ) was evaluated as a strategy to separate dementia from MCI. Equi-percentile equating produced a translation grid for MoCA against MMSE scores.
Stepwise regression models evaluating the impact of patient characteristics, tumor characteristics, and treatment for each individual cancer type did not alter the significance of results (data not shown).
The second model in Table 5 corresponds to the stepwise binary logistic regression evaluating the best predictors (entering in the model the same set of independent variables as in the previous multiple regression) of a score higher than 0 on the VG total scale (the dependent variable was coded 0 for non-VGU patients and 1 for VGU and VGA patients).
Results were confirmed by examining outputs from backwards and forwards stepwise regression analyses as evaluated by the probability of F (enter p ≤ 0.05, remove p ≥ 0.10).
We further performed a multivariate stepwise regression analysis to evaluate the association between serum cystatin C levels and the Gensini score in a model including age, sex, BMI, smoking, hypertension, and diabetes as well as TC LDL-c, HDL-c, TG SBP, DBP, fibrinogen, FPG, eGFR and cystatin C. The adjustment for the covariates did not change the associations significantly.
Her assessment is based on a forward stepwise regression model, while we evaluated partial Eta square estimates from a mutually adjusted model, which is more correct for models assessing association rather than prediction.
Stepwise regression was used to evaluate individual predictors.
Gonioscopy scores (E versus C and D) were evaluated using stepwise regression analysis.
The association between the QoL and depression symptoms score was evaluated by stepwise regression using the full set of variables of the DSSS adjusted by age and sex.
The relationship between LFT results and disease categories was evaluated by stepwise regression and logistic discrimination, with adjustment for demographic and clinical factors.
