Your English writing platform
Free sign upSuggestions(5)
Exact(6)
np*d = interaction term between the explanatory variable (np) and the dummy variable (d); ε, z, and w = errors terms for the respective equation specifications above; and.
A fixed effect is one where there is a functional relationship between the explanatory variable and quantity of interest; in this work, we assumed the relationship to be linear.
This means that finding a correlation between the explanatory variable and the dependent variable is made harder and thus, when such a correlation is found, it can be interpreted as strong evidence of its existence.
First, the cross-sectional nature of this analysis precludes us from determining causality between the explanatory variable and the outcome, particularly since contraceptive use, HIV status, and HAART use were assessed at the same point in time.
When we included SOFA score to the model it became unstable due to correlations between the explanatory variable SOFA score and APACHE.
The hypothesis of proportionality of risk over time was assessed for each covariate using graphical method and, when needed, by testing the statistical significance of an interaction term between the explanatory variable and time [ 14].
Similar(54)
Large variability in the response of those variables and interactions between the explanatory variables were observed.
Whole the input variables with their second and third powers are included in the regression to test the possible relation between the explanatory variables and the dependent variable.
We applied classification trees at either scale to capture a hierarchy of relationships between the explanatory variables and brush-tailed rock-wallaby presence/absence.
To show how the bivariate random effects meta-analysis model can be used to study the relation between the explanatory variables and the performance of diagnostic tests as characterized by a summary receiver operating characteristic curve (SROCC).
The analytical construction of optimal designs for generalized linear models with interaction between the explanatory variables is challenging and the optimal designs reported in the statistical literature for such models are invariably constructed numerically.
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