參考文獻 |
1. Agresti, A. (2003). Dealing with discreteness:making 'exact' confidence intervals for proportions, differences of proportions, and odds ratios more exact. Statistical Methods in Medical Research 2003 12, 3-21.
2. Agresti, A.(2007). An Introduction to Categorical Data Analysis, 2nd edition. John Wiley and Sons, INC., Publication.
3. Agresti, A. and Gottard, A. (2007). Nonconservative exact small-sample inference for discrete data. Computational Statistics and Data Analysis 51, 6447-6458.
4. Agresti, A. and Min, Y. (2001). On a small-sample confidence intervals for parameters in discrete distributions. Biometrics 57, 963-971.
5. Agresti, A. and Min, Y. (2002). Unconditional small-sample confidence intervals for the odds ratio. Biostatistics 3, 379-386.
6. Berger, R.L. and Boos, D.D. (1994). P-values maximized over a confidence set for the nuisance parameter. Journal of the American Statistical Association 89, 1012-1016.
7. Blaker, H. (2000). Condence curves and improved exact condence intervals for discrete distributions. Canadian Journal of Statistics 28, 783-798.
8. Casella, G. and Berger, R.L. (2002). Statistical inference, 2nd edition. Duxbury Press, Pascic Grove, California
9. Clopper, C.J. and Pearson, E.S. (1934). The use of confidence or fiducial limits illustrated in the case of the binomial. Binometrika 26, 404-413.
10. Cornfield, J. (1956). A statistical problem arising from retrospective studies. In Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability (ed. Neyman, J.), 4, 135-148.University of California Press, Berkeley.
11. Fisher, R.A. (1935). The logic of inductive inference. Journal of the Royal Statistical Society Series A 98, 39-54.
12. Fries, L.F., Dillon, S.B., Hildreth, J.E., Karron, R.A., Funkhouser, A.W., Friedman, C.J., Jones, C.S., Culleton, V.G. and Clements, M.L. (1993). Safety and
immunogenicity of a recombinant protein influenza A vaccine in adult human volunteers and protective sfficacy against wild-type H1N1 virus challenge. Journal of
Infectious Diseases 167, 593-601.
13. Haber, M. (1986). An exact unconditional test for the 2 × 2 comparative trial.Psychological Bulletin 99, 129-132.
14. Hwang, J.T. and Yang, M.C. (2001). An optimality theory for mid p-value in 2 × 2 contingency table. Statistica Sinica 11, 807-826.
15. Lancaster, H.O. (1961). Significance tests in discrete distributions. Journal of the American Statistical Association 56, 223-234.
16. Lin, C.Y. and Yang, M.C. (2005). Improved p-value tests for c omparing two independent binomial proportions. National Central University Technical Report.
17. Lin, C.Y. and Yang, M.C. (2006). Improved exact confidence intervals for the odds ratio in two independent binomial samples. Biometrical Journal 48, 1008-1019.
18. Suissa, S. and Shuster, J.J. (1985). Exact unconditional sample sizes for the 2 × 2 binominal trial. Journal of the Royal Statistical Society Series A 148, 317-327.
19. Woolf, B. (1995). Unbiased condence intervals for the odds ratio of two independent binomial samples with application to case-control data. Biometrics 57, 484-489.
20. Troendle, J.F. and Frank, J. (2001). On estimating the relation between blood group and disease. Annals of Human Genetics 19, 251-253. |