Sentence examples for both logistic regression analyses from inspiring English sources

All 504 adolescents were included in both logistic regression analyses.

For both logistic regression analyses, ruminant livestock data from 2009 were used as they represented the most reliable recent data that could be linked to geographical boundaries (meshblocks) and the most recent human census data.

Based on both logistic regression analyses, where predicted drug concentrations can estimate the probability of adverse events, and the tolerability of temsirolimus over a wide dose range, the likelihood of severe toxicity occurring from this type of drug interaction is thought to be low with the 25-mg dose.

For both the logistic regression analyses of apparent prevalence and the truncated Weibull models of concentration, plausible alternative models of apparent prevalence and concentration with various formulations were fitted and compared by calculating their Akaike Information Criterion (AIC) values.

In both multivariable logistic regression analyses, missing values were imputed via multiple imputations by using chained equations [ 30].

Results of both multivariate logistic regression analyses of women and daughters do not support the role of modernization (women's wealth and education) and religion as factors associated with FGM.

For both multivariate logistic regression analyses an entry criterion of a p value < 0.25 in the bivariate analysis and a stay criterion of p value < 0.05 in the end model of the logistic regression was used, following recommendations of Hosmer and Lemeshow [ 13].

Results of both ANCOVA and logistic regression analyses still demonstrated statistically significant effects of group membership, independent of behavioral performance.

Adjusted odds ratios (aORs), 95% confidence intervals (CIs) and p-values are reported for both GEE and logistic regression analyses.

Missing data were excluded from both χ and logistic regression analyses.

As a result, we analyzed the data of 2,217 students using both descriptive and logistic regression analyses, stratified by sex.