The phrase "a model that ignores" is correct and usable in written English.
You can use it when discussing a theoretical framework or approach that does not take certain factors or variables into account.
Example: "The study presented a model that ignores the impact of environmental factors on economic growth."
Alternatives: "a framework that overlooks" or "an approach that disregards".
The Baird government is pushing ahead with a model that ignores the consequences of the technology revolution.
This is done by comparing results from a model that accounts for turbulent fluctuations using a transported composition probability density function (PDF) method with those from a model that ignores the influence of turbulent fluctuations on local mean reaction rates (a locally well-stirred reactor – WSR – model).
The interaction between genotype of the lamb and milk production of the ewe was tested by comparing the previous recursive reaction norm model to a model that ignores the term u slope x MILK (recursive intercept model), using the restricted likelihood ratio test (RLRT = -2logLintercept_model + 2logLreaction_norm_model, where logLx is the logarithm of the restricted maximum likelihood of model x),.
The predicted progress in terms of reduction in prevalence was compared with a model that ignores epidemiological effects.
An autoregressive model may therefore be more appropriate for the quantification of the impact of WNV than a model that ignores this dependence.
Our objective was to compare five analysis methods using Cox regression for this type of data, ranging from a crude model that ignores the stratification to a flexible one that allows nonproportional hazards and varying covariate effects across the strata.
Conversely, a threshold that is too small results in a partial model that ignores relevant residues; proteins frequently undergo moderate structural changes upon ligand binding.
It is evident that the traditional reduced-order model that ignores the pitch angle control exhibits some undesirable characteristics in the period of wind disturbance.
Hence modeling the SIR on the assumption of the strict hexagonal cellular structure and the well-known path loss model that ignores the small-scale fading would not be applicable to self-configuring systems.
And, under some conditions, the decline in the number of widgets that can be purchased is exactly the same as the decline found in the simplest factor demand model that ignores the role of immigrants in the widget product market.
Unlike the existing design codes (D/D/1/C) and M/G(n)/C/C model that ignore the randomness and state dependence, the proposed PH/PH(n)/C/C DES model considers the randomness and state dependence and overcomes these shortcomings.
