Odds Ratio Estimation for Small Proportion in Binomial Distribution

Authors

  • Kobkun Raweesawat
  • Yupaporn Areepong
  • Saowanit Sukparungsee
  • Katecchan Jampachaisri

Keywords:

Odds Ratio, Empirical Bayes, Modified Maximum Likelihood Estimator

Abstract

In this study, we introduce the new estimator of odds ratio using Empirical Bayes (EB) for small proportions of success in a 2x2 table. The proposed estimate of odds ratio based on EB is then compared to conventional method, modified maximum likelihood estimator (MMLE), using the Estimated Relative Error (ERE) as a criterion of comparison. The result indicated that the EB estimator is more efficient than MMLE.

References

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Bishop, Y.M.M., Fienberg, S.E., and Holland, P.W., Discrete multivariate analysis. Theory and Practice, Cambridge, MA:MIT press.

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Parzen, M., Lipsitz, S., Ibrahim, J., and Klar, N., An estimation of the odds ratio that always exists. Journal of Computation and Graphical Statistics, 2002; 11: 420-436.

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How to Cite

Odds Ratio Estimation for Small Proportion in Binomial Distribution. (2016). Asian Journal of Applied Sciences, 4(1). https://ajouronline.com/index.php/AJAS/article/view/3672

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