The associations between variants and CHD risk were estimated by odds ratios (ORs) and 95% confidence intervals (CIs) by using the unconditional logistic regression analyses with adjustment for multiple cardiovascular risk factors such as age, sex, pack-year of smoking, drinking activity, hypertension, diabetes mellitus (DM), and family history of CHD.
Using the unconditional standards, the second assessment would be considered normal as it fell above the unconditional 10th percentile (z-score = -0.46).
Proportions were compared using the unconditional z-pooled test, which is the unconditional version of the Pearson Chi-squared test [ 25].
Relative risks associated with each risk factor for the cancers studied were estimated by using the odds ratios derived from unconditional, unmatched multiple logistic regression (SAS, 1988).
Relative risks for the association of each risk factor and cancer/cardiovascular disease were estimated by using the odds ratios (ORs) derived from unconditional, unmatched multiple logistic regression.
T-test was used and P-values were determined by unconditional logistical regression analysis by using the general loglinear option of SPSS 9.1 software (SPSS, Chicago, IL, USA) (*** P<0.001; ** P<0.01; * P<0.05; NS, not significant).
To quantify western blot band densitometry, the relevant specified bands were analysed using ChemiImager (Alpha Innotech Co .. T-test was used and P-values were determined by unconditional logistical regression analysis by using the general loglinear option of SPSS 9.1 software (SPSS, Chicago, IL).
Collinearity among the predictor variables with significant unconditional association with FIV seropositivity was assessed by using the Spearman rank-correlation test.
Similarly, we can prove that (mathcal{F_{widetilde{psi}}}) is an unconditional basis of (L^{p}(mathbb {R})), (1< pby using the methods described above.
This means that Huang et al. (2016a) used the unconditional CMC model to conduct the simulations.
For comparison with the unmatched design of previous studies, we also generated results by using an unconditional logistic regression model for each type of birth outcome, with interpregnancy interval as the predictor variable of interest.
