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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How to Cite

Raweesawat, K., Areepong, Y., Sukparungsee, S., & Jampachaisri, K. (1). Odds Ratio Estimation for Small Proportion in Binomial Distribution. Asian Journal of Applied Sciences, 4(1). Retrieved from https://www.ajouronline.com/index.php/AJAS/article/view/3672

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