Your English writing platform
Free sign upSuggestions(4)
Exact(1)
The relationship was established by using generalized regression neural network analysis.
Similar(59)
Hierarchic logistic regression analyses by using generalized estimation equations found no significant difference between the two groups in terms of 1-month survival with minimal neurologic impairment (odds ratio (OR), 1.57; 95% confidence interval (CI), 0.87 to 2.83; P = 0.14) and 1-month survival (OR, 1.38; 95% CI, 0.87 to 2.18; P = 0.17).
Underrecognition rates were compared between groups by logistic regression modelling adjusted for the effect of cluster aggregation by using generalized estimating equations.
However, this effect was examined by using generalized estimating equation models and showed no appreciable difference from the simpler logistic regression models.
Five response variables were analyzed by using generalized linear modeling.
The linear regression models were fitted by using data from both the primary and reliability measures of intake and biomarkers, and coefficients were determined by using generalized estimating equations with a working independence assumption.
Our sensitivity analyses using generalized gamma regression, beta regression and Dirichlet regression were consistent with the findings obtained by linear regression.
Comparisons between groups presenting with different clinical stages were performed by using a generalized regression model (GRM), while linear regression analysis (Pearson's or Spearman's, depending on variable distribution) was performed to assess the relationship between continuous variables.
Differences in mean change from the baseline for the SF6D to each time point will be weighted by the time from the baseline using generalized linear regression modeling, adjusting for baseline levels of the SF6D to construct QALYs and then compared between groups.
We assayed the environmental pollutants by liquid chromatography/triple quadrupole mass spectrometry and analyzed data using generalized linear regression models.
Plasma etching was modelled by using a generalized regression neural network (GRNN).
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