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It is a business model used all over the world, and it isn't right or wrong.
The All-data model used all collected data to address Hypothesis 1.
The Pre-diagnosis model used all data collected from healthy participants, but only pre-diagnosis data from depressed participants, to address Hypothesis 2. We also fit an 'intercept-only' model, in which all predictors are zero-weighted to simulate a model under a null hypothesis.
The model used all four variables to classify test data (N = 120) and the overall accuracy of the model at classifying the data was 75%.
36 37 All participants were included in the model until their last time point, which means that the model used all available data right up to the time of withdrawal or trial completion.
Our Bayesian estimation model used all available data by converting self-reported dietary values to comparable 24 h urine values and was informed by regional hierarchies and country-level covariates.
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We developed our model using all detailed time course data available to us for this strain.
Plots are derived by validating a RFR model using all available samples of each study area.
We run the SI model using all connections from all keywords, and fixing β once again to 0.1.
The first presented nonlinear state model uses all the information, and the second presented nonlinear model uses the same amount of information as the proposed linear model.
The final suggested model used only 6% of the full set of descriptors and produced better results than a model using all of them.
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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