Exact(5)
The multivariate distribution is used to model one variable for multiple tips on a tree, rather than to model multiple characters.
In a multivariable model, one variable, whether compliance was the primary objective of the study or not, remained statistically significant, even after adjustment for clustering (odds ratio=0.47, 95% confidence interval: 0.22 1.00, P=0.05).
These interaction confounders were entered into the main model one variable at a time.
In the multivariate model, one variable was independently associated with AIP: URTI or GE in the month preceding diagnosis (OR=37.18, 95% CI 1.91 to 724.98, p=0.017) (table 2).
Like my Graham-based model, one variable my Piotroski-based approach looks at is the current ratio.
Similar(55)
The model included one variable for 3-day lag PM2.5 level and three variables for 3-day lag meteorological condition.
Furthermore, the optimal prediction was obtained with a model including one variable from each of the three methods.
The above model, with one variable y i per base, is perfectly suitable to perform the gene prediction on both strands simultaneously.
The simplest and most popular implementation of this theory, which is utilized in this paper, is the grey model first-order one variable model, GM 1,1).
To maintain robust models, only one variable per five events was allowed in the multivariable Cox analyses of each endpoint.
To choose the best model, we start with the full model and remove one variable at the time in a stepwise manner.
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