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Discount and value of life-year-lost variables were very important in comparison to the life-expectancy uncertainties (figure 1B).
The other facets lost their significance when these variables were added to the model.
In Haiti and Mali the concentration of adults (not just women) with secondary education is also associated with facility delivery but is restricted to women who had lived in the area for at least 5 years in Mali [ 40], and in Haiti the association was weakened and lost significance when individual-level variables were added to the model [ 39].
If the contralateral kidney was lost due to cancer, which pathological variables were analyzed?
The standardized regression coefficients (Betas) for sex and education changed when the other variables were added, finally losing statistical significance in the full regression model.> -wrap-foot> Dependent variable "intention to use e-Health" (1 5).
However, the association lost significance when all health and disability variables were included in the model.
The statistical independence of each pixel is lost and thus the statistical requirement that a comparison must be made of independent variables is lost.
The significant bivariate association found in the correlational analysis disappeared after dichotomizing for the logistic regression, in which some of the variation in the variables was lost.
Since there are quite a number of people who responded "don't know" (DK) to either of these questions, in order not to lose information, the DK responses were re-coded as 0. In this way, their responses to other variables are not lost and their DK reply corresponds to the middle choice.
Baseline values of constant variables are not lost from the analysis as they are included in each period of the dataset with the same value.
However, some important information might be lost if the distribution of the variables was complex [ 28].
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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