Sentence examples for models may introduce from inspiring English sources

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Such utilization-based thermal models may introduce errors due to inaccurate mappings from system utilization to outlet temperatures.

Animal models may introduce potentially important concepts related to the mechanisms involved in tumor recurrence associated with surgical stress, specifically hepatic I/R injury.

We acknowledge that even simple simulation models may introduce unwanted effects into the evaluation datasets, as they simplify the complex process of outbreak evolution.

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However, these methods may fail to capture climate vegetation feedbacks, and specified vegetation in a climate model may introduce substantial error into the simulation.

However, note that the estimation of a random effects model may introduce a significant bias in the estimation (cf. Kennedy 2008, S.285), for which reason the fixed effects model is preferred.

This phenomenon is easy to understand because the extra step of converting continuous abundance levels to discrete factors by fitting the Gaussian mixture model may introduce extra noises in the data, thus resulting in the loss of the detecting power.

The simple sinusoidal (AM-based) corrections such as Berman et al. [30] and King et al. [35] or cloudless transfer models [36] may introduce a bias, which could mislead analysis or simulation results.

We included self-rated pain intensity in our model, which may introduce reverse causality.

Some of these economic evaluations have used methods for synthesising the risk factors into a single model, which may introduce bias and complexity as they combine multiple risk factors without consideration of possible interactions between risk factors.

Moreover, the incorporation of further interaction terms (e.g., CSE × gender, CSE × age) increases the complexity of the regression model and may introduce essential multicollinearity (Marsh et al. 2014).

Running multiple models and presenting only one exposure cutoff and the corresponding OR, as if no other models were considered, may introduce bias to reported study results [ 3].

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