Sentence examples for matched univariate analysis from inspiring English sources

A matched univariate analysis was performed with SAS software (5 ).

The matched univariate analysis (Table 1) gave statistically significant results for the following exposures: owning a cat, farming, visiting wooded areas, and being bitten by mosquitoes.

The matched univariate analysis in the endemic group showed significant results for the following exposures: owning a cat, farming, and being bitten by mosquitoes.

To investigate MBL and ficolin-2 as potential risk factors for SSc, matched univariate analysis was performed by running conditional logistic regression on one variable at a time with SSc as the dependent variable.

A matched univariate analysis in Epi-Info 6.04 (Centers for Disease Control and Prevention, Atlanta, GA) was performed with maximum likelihood techniques to estimate odds ratios and exact confidence intervals (CI).

In matched univariate analysis by using logistic regression with stratification (LogXact version 2.1.1, Cytel Software Corporation, Cambridge, MA), only broccoli was significantly associated with illness (matched odds ratio [mOR] 3.65, p = 0.04); 14 (58%) of 24 case-patients, and 19 (31%) of 62 controls reported eating broccoli.

Exact ORs and 95% CIs were calculated by using a matched univariate logistic regression analysis in SAS version 9.0 (SAS Institute Inc ,Cary, NC, USA) (28 ).

Since these groups were matched, only a univariate analysis was performed.

Table 1 displays the characteristics of the cases and matched controls and the univariate analysis of known risk factors for liver cancer.

Univariate analysis in matched patients showed that postoperative complication and liver decompensation occurred more frequently in patients with intraoperative hemorrhage more than 400 ml (P = 0.037 and P = 0.013, respectively) and requiring intraoperative transfusion (P = 0.036 and P = 0.022, respectively; Table  3).

Small number of the events of interest was also prohibitive for the applicability of time-to-event multivariate regression methods, capable of a more precise statistical adjustment for relevant covariates than the univariate matched group analysis used in this study.