Medical Trend Analysis Methods

dc.contributor.advisor	Wu, Qiang	en_US
dc.contributor.author	Yin, Le	en_US
dc.contributor.committeemember	Hong, Don	en_US
dc.contributor.committeemember	Sinkala, Zachariah	en_US
dc.contributor.department	Basic & Applied Sciences	en_US
dc.date.accessioned	2014-06-02T19:01:54Z
dc.date.available	2014-06-02T19:01:54Z
dc.date.issued	2014-12-31	en_US
dc.description.abstract	Medical trend is the most important component used to indicate and file rates. Insurance companies use trend to forecast future costs and premiums. Governments use medical trend in the rate review process. This thesis reviews four methods used to find a trend factor: average ratio, linear regression, exponential regression and time series analysis method with rolling average technology. A software package is developed to calculate medical trend based on annual data or monthly data. An efficient method to detect the outliers is also presented.	en_US
dc.description.degree	M.S.	en_US
dc.identifier.uri	http://jewlscholar.mtsu.edu/handle/mtsu/3638
dc.publisher	Middle Tennessee State University	en_US
dc.subject	Average ratio method	en_US
dc.subject	Medical trend	en_US
dc.subject	Outlier detection	en_US
dc.subject	Regression method	en_US
dc.subject	Rolling average	en_US
dc.subject	Time series analysis	en_US
dc.subject.umi	Mathematics	en_US
dc.thesis.degreegrantor	Middle Tennessee State University	en_US
dc.thesis.degreelevel	Masters	en_US
dc.title	Medical Trend Analysis Methods	en_US
dc.type	Thesis	en_US

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