Your English writing platform
Discover LudwigExact(60)
The logistic regression model is first introduced for the simple case where there is only a single predictor variable.
Importantly, predictors based on longitudinal data differ substantially from a single predictor originating from a cross-sectional study design lacking any distinction between time-sensitive (mediator) and time-invariant (prognostic predictor) brain processes13,27,32,33.
From statistical theory and applications in many other fields, it is clear that measurement error in a single predictor variable can lead to bias in estimating the effects of that variable, as well as any other correlated predictors.
The AGB of tree shaped species (e.g., Acacia bussei and Acacia etabaica) were significantly predicted from a single predictor (circumference of the stem at ankle height), with a high coefficient of determination (r2 > 0.95; p < 0.001).
NDVI was thus selected as a single predictor for the final model.
We first specified factor scores obtained from Mplus indicating MtL as a single predictor of participation in further education.
We employed two types of estimated CC as a single predictor variable in separate models to estimate AGB.
As such, many ML-based systems have been proposed that use a single predictor to accomplish the objective estimation of visual quality.
As noted, we estimated AGB first using either ( {hat{CC}}_{mathrm{VERT}} ) or ( {hat{CC}}_{mathrm{HEMI}} ) as a single predictor variable using three models.
A single predictor such as age, might ultimately be represented by many indicator variables for different break points and many indicators for interaction effects.
For analysis purposes, we establish a bijection between this finite state space and a single predictor variable taking values in the set.
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