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The model utilized age-specific SDI claims data applied to the catch-up eligible population [unpublished data].
The model utilizes age-structured mortality, fertility, partnership and condom use data to model the spread of HIV and the shift of peak prevalence to older age groups.
The model utilized well stratigraphic ages to reconstruct the burial history through geological time.
A model of clearance probabilities utilizing age and other characteristics could in principle be synthesized with the models presented here to produce more relevant reconstructed past infection probabilities that are conditional on chronic HCV infection.
Each model utilized a PDI-4 subscale as the outcome measure, with terms for cohort (based on the corresponding diagnosis), gender, age, and race.
Our model utilized monthly discontinuation rates.
Our prediction model utilized the Gene feature as the baseline.
As described above, DNA damage and thus genomic instability is an inherent nature of our aging model utilizing HU treatment.
The nomadic model utilizes the cover of transit to leverage freedom.
A model, utilizing inputs from published studies, was constructed.
This family of model utilizes eigen‒decomposed component covariance structures.
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