{"id":25272,"date":"2022-01-21T14:08:00","date_gmt":"2022-01-21T07:08:00","guid":{"rendered":"https:\/\/10.41.207.120\/?post_type=post_research&#038;p=25272"},"modified":"2022-06-08T14:14:42","modified_gmt":"2022-06-08T07:14:42","slug":"a-bayesian-approach-to-combining-multiple-information-sources-estimating-and-forecasting-childhood-obesity-in-thailand","status":"publish","type":"post_research","link":"https:\/\/ipsr.mahidol.ac.th\/en\/post_research\/a-bayesian-approach-to-combining-multiple-information-sources-estimating-and-forecasting-childhood-obesity-in-thailand\/","title":{"rendered":"A Bayesian Approach to Combining Multiple Information Sources: Estimating and Forecasting Childhood Obesity in Thailand"},"content":{"rendered":"\n<p><strong>Author(s):<\/strong> John Bryant , Jongjit Rittirong , Wichai Aekplakorn , Ladda Mo-suwan , Pimolpan Nitnara<br><strong>Publisher Name: <\/strong>PLoS ONE<br><strong>Published Year:<\/strong> 2022<\/p>\n\n\n\n<p>DOI:\u00a0<a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0262047\" target=\"_blank\" rel=\"noreferrer noopener\">10.1371\/journal.pone.0262047<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=%22PLoS+One%22%5Bjour%5D\"><\/a>PLoS One.\u00a02022 Jan 21;17(1):e0262047.\u00a0doi: 10.1371\/journal.pone.0262047.\u00a0eCollection 2022.<\/p>\n","protected":false},"featured_media":0,"template":"","tags":[],"research_group":[196],"research_type":[200,202],"research_year":[207],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.10 - 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