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The Keouk County CAFO Study: A Complementary Analysis Using Classification Trees in SAS® Enterprise Miner TM
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gordon, Leonard V. |
| Copyright Year | 2012 |
| Abstract | There is an increase in larger specialized operations in the livestock production sector in the United States(US). The number of hogs raised in the US has been relatively constant but the number of producers has reduced resulting in concentrated animal feeding operations (CAFOs) which has not been without consequences. The amount of waste generated has had adverse effects on the environment. Studies have shown an association between CAFO exposure and adverse respiratory outcomes. Classification trees (CT)- a non-parametric methodology- using SAS® Enterprise Miner™ are used for the analysis. Classification trees are underused in the public health literature and they have the ability to divide populations into meaningful subgroups which will allow the identification of vulnerable groups and enhance the provision of products and services. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://analytics.ncsu.edu/sesug/2012/SD-11.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
