Your English writing platform
Discover LudwigSuggestions(2)
Exact(3)
Associated factors were analyzed on a bivariate level using the x test and on a multivariate level using a logistic regression.
Absolute and relative frequencies were calculated for each variable and factors associated with unreported cases were analyzed on a bivariate level using the x test.
Seemingly, at bivariate level, using the χ − test and design-based F-test statistics, there were slight variations in the associations of the hybrid variable and parameters that explained it.
Similar(57)
A multivariate logistic regression model was constructed with the variables significant at the bivariate level, using manual stepwise selection to consider the factors with a p < 0.05 on a bivariate level.
Differences in the predictors of unintended pregnancy were assessed at the bivariate level using normalized weights.
We analysed the data at the patient level using a bivariate random effects regression model [ 15].
We model the distribution of this bivariate binary endpoint using the bivariate probit model.
Statistical analysis included bivariate correlations using the Pearson product-moment coefficient correlation.
Owing to the strength of the association between employment and violence at the bivariate level, employment was used as the key independent variable in both multivariate models.
At the bivariate level, the Mann–Whitney test and the Chi-square test were used to compare the data of bereaved and non-bereaved respondents.
Degree of bivariate associations was measured using the Pearson Chi Square test to assess the significance between different variables, with significance level set at p < 0.05.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com