The phrase "a model that contains" is correct and usable in written English.
You can use it when describing a model that includes specific elements or features.
Example: "The research paper presents a model that contains various factors influencing climate change."
Alternatives: "a model that includes" or "a model that comprises".
We then estimated τ* values using a model that contains baselineLD, GTEx-FE-Meta-Tissue MaxCPP, and GTEx whole-blood maxCPP annotations.
A complex model is a model that contains the combination of different functional principles, like optics and electronics.
We generated simulated data under a model in which only baselineLD and GTEx-FE-Meta-Tissue MaxCPP annotations directly influence trait heritability, using estimated τ* values from meta-analysis of 41 independent traits (estimated using a model that contains only baselineLD and GTEx-FE-Meta-Tissue MaxCPP annotations).
We specifically use Standard ML to model the original system implementation as well as its latency insensitive version and compare the two by creating a model that contains both, giving them the same inputs and checking their outputs to be latency equivalent.
In this paper, we use certain orthogonal arrays that are embedded into Hadamard matrices as combined arrays, in order to identify a model that contains all the main effects (control and noise) and their control-by-noise interactions with high efficiency.
How big? AspenTech's customer Perstorp, a leading global specialty chemicals manufacturer, has a model that contains 1.5 million variables and 500,000 constraints!
We also investigated potential differences between oak and beech cover in a model that contained these two variables alongside the other forest attributes, but only for those plots which were not dominated by conifers.
Troponin T levels remained significantly predictive of 30-day mortality in a model that contained ECG categories and CK-MB levels (chi-square = 9.2, P = 0.027).
For each level of complexity we started with a model that contained the interactions between all involved predictors as well as the main effects (conditional on the interactions).
Specifically, we fit a model that contained four of the seven covariates that had appeared in the full model (i.e., pack size, month, prey size, and breeding status).
In other words, if the minimum mean cross-validation error plus one standard deviation of the error at minimum was lower than the mean cross-validation error of the constant model, i.e., a model that contained no lipids, then the image parameter was interpreted to be dependent on the lipid profiles.
