The phrase "a model to adjust" is correct and usable in written English.
It can be used in contexts where you are referring to a framework or system that requires modification or adaptation.
Example: "We have developed a model to adjust our marketing strategies based on consumer feedback."
Alternatives: "a framework to modify" or "a system to adapt".
In this paper we develop a model to adjust mammographic density for age and BMI and show how this adjusted mammographic density measure might be used with existing risk prediction models to identify high-risk women more precisely.
Finally, we fit a model to adjust for mediating variables (model 4).
In observational studies, the selection of variables in a model to adjust for confounding is often based on known associations with the outcome under study (i.e., the variables are known risk factors for the outcome), and observed associations with the exposure of interest [ 7].
In this study, we use data on a subset of women from the placebo arm of the International Breast Cancer Intervention Study 1 (IBIS-1) [ 12, 13] to develop a model to adjust mammographic density (percent dense area) for age and BMI and show how this adjusted mammographic density measure might be used with existing risk prediction models to identify high-risk women more precisely.
We then propose a correction model to adjust for observed differences in terms of age and schooling.
The study aimed to develop a screening algorithm for those potentially avoidable, using only routinely collected hospital data and a prediction model to adjust rates for case-mix.
Ultimately, it would be very useful to incorporate LSI-derived literature similarities, perhaps as priors in a Bayesian model, to adjust the FDR for microarray datasets.
We then used forward selection method to build a parsimonious model to adjust for other confounders.
Therefore, we used a mixed model to adjust for potential bias.
We used a multivariate model to adjust for the confounders of the association of LMR with survival.
Analysis of outcome based on age >75 years was compared using Cox proportional hazard with a propensity model to adjust for baseline covariates.
