Exact(1)
While the original data produced has similar p values for both regression and linear, it did not pass the Anderson Darling test for being normal.
Similar(7)
Both logistic regression and linear mixed-effects models were adjusted for clinic site, baseline depression severity (PHQ-9 score <15 vs. ≥15) and dysthymia, birth place, language, and years in the U.S. (<10 vs. ≥10).
The Supporting Information also reports a linear probability model of treatment discontinuation prior to 25 weeks and both logistic regression and linear probability models of treatment discontinuation prior to 16 weeks of treatment for the entire sample and prior to 32 weeks for those with prior TB treatment episodes.
Both the logistic regression and linear regression models corrected for age, and Acute Physiology and Chronic Health Evaluation (APACHE) II score.
To fit the observed distributions with theoretical models, both linear regression and non-linear regression routines are implemented in the software.
Relationships between infant anthropometrics at birth and gestational clinical characteristics were analyzed using both unadjusted linear regression models, and linear regression models adjusted for covariates chosen a priori (maternal HIV status, age, parity, education, gestational age at the time of anthropometric measurement, and infant sex).
Both stepwise linear regression and multiple linear regression were performed to estimate the joint effect of the variables.
Blom transformations are commonly used for distributional normalisation 29 and have been shown to yield the most reliable results among a variety of alternatives for violations of the distributional assumptions of both multiple linear regression and general linear mixed effects models.
Related(1)
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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