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It is not surprising that these results are similar, as the main factor in breast cancer prevalence modelling is the incidence rate, and in both our study and the USA study incidence rates were predicted to remain at the current high level in the foreseeable future [ 31].
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Our goal is to assess HBV perinatal transmission risk by means of estimating female age-specific HBeAg prevalence for 21 world regions based on observed data from a systematic literature review and subsequent prevalence modeling.
All prevalence modeling analyses were based on zero-adjusted Bray-Curtis similarity matrices [47] and conducted in PRIMER v6 [48] and PERMANOVA+ [45].
The variable "survey" was included in the prevalence model and represents the possible time-related variables not covered by the parameters included in the vector density and prevalence analyses.
In the prevalence model, the odds ratios for the disease loci and disease prevalence were specified.
The model was adjusted for the same confounders as in the pain prevalence model.
Each of these fatty acid exposures were categorized in quartiles for prevalence models.
For further information on the Dementia Prevalence Model, including a sensitivity analysis, see [ 2][ 14].
We used the prevalence model in SeqSIMLA to simulate the disease status.
We carried out this study to create a prevalence model for CKD.
Prevalence was then extrapolated across the next three decades using the dementia prevalence model [ 2], and costs recalculated accordingly.
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