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They estimated disease parameters by reviewing published reports of Taiwanese screening coverage and cancer incidence, and further calibrated disease parameters to fit cervical endpoints.
Keeping all calibrated disease progression parameters constant, the follow-up regimen modeled was modified to be consistent with that undergone by subjects in the validation group (see Table 2).
These findings are important because they suggest that traditionally calibrated disease models may contain biased disease parameter estimates to compensate for undetected inaccuracies in the underlying network and mixing models.
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In the case of the current work, we use the surveillance regimen followed in the intervention arm of a published CRC follow-up trial to calibrate disease progression parameters.
Calibrating a disease simulation model's outputs to existing clinical data is vital to generate confidence in the model's predictive ability.
The same covariates were included in disease models using calibrated values as for the non-calibrated model.
In cases in which a credible trial for a particular dose existed, the pleiotropic effect was calibrated directly based on the disease risk reductions observed in the trial.
These data are captured onto a database system and transformed into the input format for the InterVA4 analysis software that uses an algorithmic approach, calibrated by knowledge of local disease patterns, to establish the main cause of death, as well as immediate and contributing causes (51– 51).
Such expert groups should be trained collectively and calibrated diagnostically in other oral diseases.
TB models are usually calibrated to an observed prevalence of disease by varying the transmission parameters [2], [6], [8].
In this light, recent initiatives to integrate and cross-calibrate generic and disease-specific measures of health-related quality of life using applications of item response theory and computerized adaptive testing are particularly interesting.
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