Previously many researchers have also applied unconditional logistic regression in frequency matched case control design [ 33, 40].
Ptrend was applied by unconditional logistic regression to analyze the temporal trend of COX-2 methylation levels.
Relative risks, approximated by the OR, were estimated by unconditional logistic multiple regression (Rothman et al, 2008).
We analyzed data by unconditional logistic regression by using Stata 8.2 software (Stata Corporation, College Station, TX, USA).
Associations between tobacco smoke exposure and breast cancer were estimated by using unconditional logistic regression.
Corresponding 95% confidence intervals (CIs) by an unconditional logistic regression were adjusted by age (scale variable) and sex (nominal variable).
The differences in tobacco use by HPV serology were evaluated by ANOVA; and the reported odds ratios and 95% confidence intervals were determined by using unconditional logistic regression.
OR and its 95% CIs were estimated by an unconditional logistic regression model to measure the association between selected SNPs and the risk of liver cancer.
Genetic models were applied for analyzing the association between tSNPs and GBM risk by unconditional logistic regression analysis, which adjusted for age and gender.
The association between the TP53 and MDM2 polymorphisms and risk of NPC were estimated by ORs and their 95% CIs, which were calculated by unconditional logistic regression models.
