Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
We also re-estimated the main regressions using the population between 25 and 34 years of age.
Similar(59)
To account for differences in the period covered by the two datasets, we repeated our main regression using the GSS only for the period 2002 10 (column 4).
We also estimated the main regressions (Tables 1 3) using as the outcome the growth in the private employment in plants located in the area from the Istat Statistical Archive on Active Enterprises (an annual census of the private sector).
To assess the robustness of the main regression results we use different measures for health, dominance, and sociability.
Both graphics are based on the working sample used in the main regressions.
The estimates are based on the working sample used in the main regressions.
Analysis was conducted separately for each type of infection (LRTI, pneumonia, and sepsis) using 3 main regression models.
This cross-validated AUC may be regarded as an estimation of the expected probability of two randomly chosen future ill or healthy subjects being correctly classified as ill or healthy, respectively, using the main regression model described above.
We then perform our main analyses using multivariate regression analysis to investigate distance decay in health care utilization, controlling for several individual and household characteristics.
In order to check our main results using logistic regression, which avoids distributional assumptions about the MHI-5, we also defined a cut-point to define a 'case' of common mental disorder on the MHI-5 scale.
In the main logistic regression analysis using patient/control-status as outcome (Table 3) tryptophan (p = 0.002), XA (p = 0.006) and HAA (p = 0.003) would remain significant when applying this correction.
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