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Previous studies of the transmission dynamics of HAV infection have accounted for the cohort/natural immunity replacement effect [ 18, 28]; although these studies used realistic age-structured models fitted to seroprevalence data, they have assumed a steady-state demography with predictions for population growth achieved via rescaling [ 28]; population ageing was not taken into account.
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Separate cross-validation across genotype among sibs only within each population (CVG Within-Within-Same; Figure 2, category I) showed consistently lower accuracies of prediction for population A than population B for all four traits.
One of the limitations of clinical risk prediction tools for population prediction is the reliance on physical measurements or special risk questions, such as fasting blood sugar (Ito et al. 1996, Eddy and Schlessinger 2003, Hanley et al. 2003;) or diabetes family history (Herman et al. 1995, Lindstrom and Tuomilehto 2007) in the case of diabetes.
The accuracies of prediction for population-specific test-sets were rather similar, no matter whether estimation was done within (CVG Within-Within-Same) or across populations (CVG Across-Within).
In case of the predictivity, the evaluation is on the basis of the quality of predictions for a population of chemicals.
The corresponding predictions for a population comprising two cities, with different degrees of interaction between them, are summarized in Figure 4.
Prevalence estimates, however, are limited by the use of subjective assessments of deformity in large-scale surveys; there is a need to develop standard prediction tools for population screening [3 5].
In the literature, many simulation studies have assessed the performance of AIC, but to our knowledge these were never done in selecting the model with minimal prediction error for population data.
There is considerable potential for predictions from population balance models describing particle aggregation to help optimise full-scale processes.
While this model makes predictions for IDP populations throughout the solar system, it has not been validated by direct measurements beyond 18 AU.
The occurrence of endosymbiont infections substantially complicates predictions for small populations.
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