Modeling Poisson Regression To The Causes Of Death In Hospitals (A Case Study Of Federal Medical Center, (Fmc) Umuahia For The Period 2009-2013:- Emenike, Iheanyi C

Authors: EMENIKE, IHEANYI CHIZARAM | Natural & Applied Sciences Statistics Projects 51 pages 9,824 words

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ABSTRACT

 A Poisson regression model was fitted to the causes of death in Federal Medical Center (FMC), Umuahia. The basic violation of the model, which is over-dispersion was confirmed absent with use of a plot ofresidual against fitted values, the Pearson statistics and the comparison ofthe loglikelihoods of the Poisson regression and Negative Binomial regression models. The leading causes of death in the hospital were determined to be diseases affecting the digestive and circulatory system, injuries, endocrine and neonatal diseases, and cancers. Also, a simple line graph was used to study the trend ofrecorded deaths in the hospital.-

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