For countries with generalized epidemics but no national population surveys, we also developed an updated approach to calibrating prevalence curves derived from the ANC data in Spectrum 2013.
Besides this, it also provides a feasible approach to calibrating the parameters of the SW potential for a certain material.
Based on this model, a new approach to calibrating the energy scale of ground array experiments is developed, which factors out the model dependence inherent in such calibrations up to now.
The first approach to calibrating current pollution surfaces used IDW interpolation to create annual surfaces between 1975 and 1994.
For countries with generalized epidemics and population survey data, our results show that the new approach to calibrating ANC surveillance data to prevalence estimates in Spectrum works well.
This empirical approach to calibrating the molecular clock is similar to that described by Crandall et al. (2012), who used the post-Pleistocene expansion onto the Sunda Shelf to date a genetic signature of population growth in three invertebrates.
The original approach to calibrating the Spectrum model to match population-based survey prevalence estimates involved re-sampling prevalence curves after fitting the model to the ANC prevalence data [ 18].
To address these two prominent challenges, we have applied an engineering approach to calibrate a microsimulation model, the Lung Cancer Policy Model (LCPM).
The proposed algorithm is then used to construct a reduced order model (a surrogate) which is then used in a Bayesian approach to calibrate the neutronics and thermal-hydraulics parameters.
We used a likelihood-based approach to calibrate the stochastic models to empirical data, such as age-specific prevalence of HPV, age-specific incidence of cervical cancer, and HPV type distribution in normal females, cancer precursors, and cervical cancer [ 31].
