Your English writing platform
Discover LudwigSuggestions(5)
Exact(5)
Prior to running the regression model, the explanatory variables were checked for the existence of multi-collinearity and heteroscedasticity.
Based on the insights of the theoretical model, the explanatory variables in the latter equation are factors that explain the prominence of an agricultural-based rather than a modern economy: arable land per capita, gross fixed capital formation as a percentage of GDP, agricultural value added as a share of GDP and the small island developing states dummy.
In the simple model the explanatory variables women (compared to men) and perceived stress were statistically significant (Table 7).
In this model, the explanatory capability further increased over the previous four models and could explain a correlation of the predicted to the observed dengue cases to a correlation of 92%.
Factors affecting adequate pain management were finally evaluated by a stratified logistic regression model; the explanatory variables of the model, defined ' a priori', were gender, Performance Status (2 vs 0 1), stage (IV vs IIIB), bone metastases (yes vs no) and worst pain as a continuous variable.
Similar(55)
In the three models, the explanatory variables entered into the model were determined by theoretical reference.
In these models the explanatory variables were the fixed effect of parity and regression on actual litter size (total number born).
In all models, the explanatory variables are gender, age (linear, within each age category), dummies for CAM and 'Vogelaarwijk' (city areas with known lower socioeconomic status of inhabitants), year dummies and postal code fixed effects.
Based on the QIC statistic for GEE model selections, the explanatory variables of the final model were age, survey year, gender, SES group, ADC, and SDC during childhood.
The regression model with the explanatory variable time in university hospital as senior physician (Model 1) was not significant.
When modelling NPS as a function of the 13 individual non-musculoskeletal symptoms, age and gender (Model II), the explanatory power was 33.8% (R2 = 0.338, p < 0.001).
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