Sentence examples for binomial logistic regression analysis from inspiring English sources

Table 3 Table of covariates, results summary of the binomial logistic regression analysis Fixed effects Coeff.

The categorical response data were statistically analyzed by means of a binomial logistic regression analysis (cf. [81]).

With all these factors represented by binary variables, the effect of a narrow programme is estimated by means of a binomial logistic regression analysis.

Like in the binomial logistic regression analysis of the main judgment data, fixed effects were F0 context, final sibilant, vowel quality, and original sibilant.

We found in the multiple binomial logistic regression analysis that serum TAC levels were associated with 30-day mortality (odds ratio 1.92; 95 % CI 1.201 3.072; p = 0.006) after adjusting for GCS and age (Table 2).

Using a binomial logistic regression analysis of the graduates' answers on the matching question, we estimate for each education programme whether there is a significant difference between the graduates' match within their occupational domain and outside it.

Binomial multivariate logistic regression analysis showed that only ASA score is an independent risk factor for in-hospital mortality.

This association was further tested using a binomial multiple logistic regression analysis for which sex and age were included as covariates.

Binomial multivariate logistic regression analysis was carried out to identify independent predictors of malignancy: a stepwise backward procedure was used, and variables with a p value >0.10 were removed from the model.

A preliminary univariate analysis was conducted to identify potential risk factors [age, gender, education level, marital status, residence, occupation, chewing experience (years), age of starting Khat chewing, postsession action of Khat (hrs), chewing specific type of Khat, and frequency of Khat chewing], followed by binomial multivariate logistic regression analysis using stepwise method.

We used binomial logistic regression and classification tree analysis to explain the distribution of the two types of forest.