pone.0262047.g007.tif (953.18 kB)
Using replicate datasets to assess the ability of the model to capture geographical variability in rates of change for obesity.
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posted on 2022-01-21, 19:07 authored by John Bryant, Jongjit Rittirong, Wichai Aekplakorn, Ladda Mo-suwan, Pimolpan NitnaraEach columns shows results from one dataset. Each dot represents the slope from a regression of numbers of obese children against time. The figure shows results for females only.
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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 pobesity trendsdata sourcesobesity prevalencemain sourcessurvey dataadministrative dataxlink ">specified separatelyrural residenceresults suggestinternational estimatesbayesian approach
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