Sentence examples for multinomial logistic analysis from inspiring English sources

Third, the presence or absence of a medical history of hypertension was added to the adjustment factors, and multinomial logistic analysis was similarly performed.

Variables independently associated with CDI related mortality and non-CDI related mortality versus the comparator group, were subject to multinomial logistic analysis on a patient basis.

Variables independently associated with the outcome all-cause mortality (survival group [N = 124], versus the group; CDI related mortality [N = 19], and non-CDI related mortality [N = 18]) were subject to multinomial logistic analysis on a patient basis.

The results of multinomial logistic analysis are shown in table 2. The crude OR and 95% CI of CeI (vs that on Sunday) were significantly high on Monday (1.182, 1.095 to 1.276, p<0.001) and remained significant even after adjustment for age group, gender and hypertension history.

11 20 The subjects were divided into two groups with an onset age of 64 years or younger and 65 years or older, and multinomial logistic analysis with adjustment for this age category and gender was performed referring to the incidence with Sunday as a reference, as described above.

The results of the multinomial logistic analysis were similar to those of a Cox proportional hazard regression: the incidence of cardia and upper-third gastric cancer was 2.2 times higher for current smokers than for never smokers, and 1.4 times for distal gastric cancer (data not shown).

SPSS 17.0 was used for statistical analysis (SPSS Chicago, USA) Multinomial logistic regression analysis was conducted to estimate the association between physical work load and the number of days with LBP during the previous 12 months.

In contrast to the logistic regression analysis, the results of the multinomial logistic regression analysis varied greatly between THA and TKA.

Furthermore, our analysis sought factors predicting each cause of death category using multinomial logistic regression analysis and factors predicting access to antiretroviral therapy using binomial logistic regression analysis.

Multinomial logistic regression analysis was used for the models investigating severity-graded LBP, while binary logistic regression analysis was used for depressive symptomatology.

Results of the multivariate multinomial logistic regression analysis.