Almendra-Arao, Efficient calculation of test sizes for non-inferiority, Comput. Statist. Data Anal. 56 (2012), 4138-4145.
[2] F. Almendra-Arao and D. Sotres-Ramos, Comparison of some non-inferiority asymptotic statisticaltestsfortwoindependentproportions,Agrociencia 43(2009), 163-172.
[3] W. Blackwelder, Proving the null hypothesis in clinical trials, Controlled Clinical Trials 3 (1982), 345-353.
[4] D. Böhning and C. Viwatwongkasen, Revisiting proportion estimators, Stat. Methods Med. Res. 14 (2005), 1-23.
[5] R. S. Dann and G. G. Koch, Methods for one-sided testing of the difference between proportions and sample size considerations related to non-inferiority clinical trials, Pharmaceut. Statist. 7 (2008), 130-141.
[6] C. Farrington and G. Manning, Test statistics and sample size formulae for comparative binomial trials with null hypothesis of non-zero risk difference or non-unity relative risk, Stat. Med. 9 (1990), 1447-1454.
[7] J. L. Fleiss, B. Levin and M. C. Paik, Statistical Methods for Rates and Proportions, 3rd ed., John Wiley & Sons, Inc., 2003.
[8] W. Hauck and S. Anderson, A comparison of large sample confidence interval methods for the difference of two binomial probabilities, Amer. Statist. 40 (1986), 318-322.
[9] L. L. Laster, F. M. Johnson and L. M. Kotler, Non-inferiority trials: the ‘at least as good as’ criterion with dichotomous data, Stat. Med. 25 (2006), 1115-1130.
[10] O. Miettinen and M. Nurminen, Comparative analysis of two rates, Stat. Med. 4 (1985), 213-226.
[11] D. Sotres, Y. Castillo and F. Almendra-Arao, Continuity correction for the Laster-Johnson-Kotler noninferiority asymptotic statistical test for 2 independent proportions, Therapeutic Innovation and Regulatory Science 47 (2013), 65-69. |