pone.0262047.g006.tif (908.07 kB)
Comparison of national-level estimates and forecasts of obesity prevalence from different combinations of model type and priors for variance terms in time main effects and interactions.
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posted on 2022-01-21, 19:07 authored by John Bryant, Jongjit Rittirong, Wichai Aekplakorn, Ladda Mo-suwan, Pimolpan NitnaraThe estimates and forecasts aggregate over age, sex, region, and urban-rural residence. Each row of panels represents one model type, and each column represents one prior.
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submodels describing errorsstable among childrenmany smaller submodelscombining multiple sourcealso make use7 time pointssubmodel describing trendsforecasting childhood obesityforecast childhood obesitythai data sourcesthailand obesity trendsdata sourcesobesity prevalencemain sourcessurvey dataadministrative dataxlink ">specified separatelyrural residenceresults suggestinternational estimatesbayesian approach
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