A Bayesian Analysis of the Parameter of the Noncentral Hypergeometric Distribution: An Application to Several Small Hospitals for Liver Scan Recipients by Race Public
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The concept of small area estimation is growing in the statistics field due to the demand for reliable small area estimates which can be used to influence government decision-making. Hospitals are an example of small areas used in such statistical studies. Previous studies have shown that white and black breast-cancer patients had received some significantly different patterns of care. However this evaluation could be inaccurate due to some of the data being from small areas. The goal of our project was to estimate the odds ratios of the two groups of breast-cancer patients that received a treatment known as a liver scan. Two methods of parameter estimation were used and compared. The main goal was to analyze and compare the reliability of the two methods of estimation.
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