Suggestions(3)
Exact(2)
In the present paper, manual (direct), semi-automatic (indirect determination of characteristic points by approximation) and automatic (3D model) methods for extracting characteristic points are presented, along with the results of an accuracy assessment.
The independence of associations between the proposed predictor variables and IAPT non-response will be explored using linear mixed model methods (for continuous outcome measures) and logistic regression (for categorically-defined outcomes i.e. recovered vs. non-recovered).
Similar(58)
H. Meng [18] derived a channel model method for a ring topology using scattering parameters; however, this method has difficulty considering multiple rings and mesh topologies.
The wall reflections of the enclosure and room impulse responses between each source and sensor were simulated using the image model method for small-room acoustics [38].
Associations were further tested by the unified mixed model method for association mapping (MLM) in TASSEL [ 48].
aAdjusted for children's school and other variables in the table using linear regression model (method for variable entry and removal:"enter").
In this paper we provide an extension of a linear mixed model method for genomic prediction to the situation with non-genotyped animals.
Smith, S. M. et al. Network modelling methods for fMRI.
De_schutter E (2009) Computational Modeling Methods for Neuroscientists, De_schutter E, ed.
Adopted from "Computational Modeling Methods for Neuroscientists" Extracellular resistance is Not negligible.
Her master's thesis investigated neural network modeling methods for describing animal species distributions.
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