Bayesian Analysis of Population Health Data

نویسندگان

چکیده

The analysis of population-wide datasets can provide insight on the health status large populations so that public officials make data-driven decisions. such often requires highly parameterized models with different types fixed and random effects to account for risk factors, spatial temporal variations, multilevel other sources uncertainty. To illustrate potential Bayesian hierarchical models, a dataset about 500,000 inhabitants released by Polish National Health Fund containing information ischemic stroke incidence 2-year period is analyzed using models. Spatial logistic regression survival are considered analyzing individual probabilities times occurrence an event. Demographic socioeconomic variables as well drug prescription available at level. variation means region-level effects.

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ژورنال

عنوان ژورنال: Mathematics

سال: 2021

ISSN: ['2227-7390']

DOI: https://doi.org/10.3390/math9050577