The phrase "adjustment for model" is correct and usable in written English.
It can be used in contexts where you are discussing modifications or corrections made to a model, often in fields like statistics, data analysis, or machine learning.
Example: "The adjustment for model accuracy was necessary to ensure reliable predictions in our analysis."
Alternatives: "model correction" or "model modification".
Associations were somewhat attenuated with adjustment for model 2 confounders but remained significant.
†Difference in group means after adjustment for model factors and covariates.
Similar results were seen for recurrent hypoglycemia and after adjustment for model 2 variables (Table 2).
IL-6 was associated with incident diabetes after adjustment for model 1 variables in all groups except Chinese.
We included each centre as a covariate in the model and used the centre coefficient to estimate the effect of centre on mortality after adjustment for model covariates.
CRP quartile was significantly associated with incident diabetes after adjustment for model 1 variables in white, African American, and Hispanic subjects.
Model-based lead time includes many slow-growing, dormant (Spratt et al, 1993; Draisma et al, 2003) or regressing tumours (Zahl et al, 2008, 2011), and adjustment for model-based lead time will therefore inevitably 'adjust away' a large part of the overdiagnosis.
The dilution effect is studied in Figure 2. If we screen for 10 years and add new cancers to both groups during another 10 years of follow-up, adjustment for model-based lead time gives 20% overdiagnosis, whereas adjustment for clinical lead time gives 50% overdiagnosis.
The unadjusted model was built first (model 1), sequentially followed by adjustment for HbA1c (model 2), age (model 3), diabetes duration (model 4), and BMI (model 5).
Otherwise, a process of model selection may be necessary, where competing models are estimated and the quality of the results compared, with appropriate adjustments for model complexity.
A number of general model selection criteria which incorporate adjustments for model dimensionality have been used in other areas with success [ 8, 9].
