Please use this identifier to cite or link to this item:
https://ir.swu.ac.th/jspui/handle/123456789/12591Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Patummasut M. | |
| dc.contributor.author | Phewchean N. | |
| dc.contributor.author | Sirirattanapa J. | |
| dc.date.accessioned | 2021-04-05T03:04:19Z | - |
| dc.date.available | 2021-04-05T03:04:19Z | - |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 16859057 | |
| dc.identifier.other | 2-s2.0-85061562910 | |
| dc.identifier.uri | https://ir.swu.ac.th/jspui/handle/123456789/12591 | - |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061562910&partnerID=40&md5=343cf449d08e93984891813545d1841f | |
| dc.description.abstract | The aim of this paper is to examine trends of motorcycle related head injuries in HRH Princess Maha Chakri Sirindhorn Medical Center, Nakhon Nayok province, Thailand, following the 100% Motorcycle Helmet Use campaign by using log-linear models. Since the injuries count data is overdispersion, the Poisson log-linear model is not reasonable. Consequently, the negative binomial log-linear model accounted for overdispersion is used, and it fits the data very well. The fitted model indicated the increasing trend of head injuries after the 100% Motorcycle Helmet Use campaign was lunched over the years 2011-2016. It is increasing at the rate 1.13% per month. © 2019, Thai Statistical Association. All rights reserved. | |
| dc.title | Modelling motorcycle-related head injury trends for Thailand following the 100% motorcycle helmet use campaign using log-linear model | |
| dc.type | Article | |
| dc.rights.holder | Scopus | |
| dc.identifier.bibliograpycitation | Thailand Statistician. Vol 17, No.1 (2019), p.30-40 | |
| Appears in Collections: | Scopus 1983-2021 | |
Files in This Item:
There are no files associated with this item.
Items in SWU repository are protected by copyright, with all rights reserved, unless otherwise indicated.