样品尺寸决心通常为二个独立二项式的实验在现代医药研究被遇到。为精明的样品尺寸的一条新途径被联合开发贝叶斯并且 frequentist 想法当在二个二项式的比例之间的假设测试被进行时。样品尺寸在 0-1 损失功能下面根据贝叶斯的以后的决定功能和最强大的测试的力量被计算。样品尺寸为二个比例等于某固定价值或随机的价值的二个案例被调查。模拟研究和一个真实例子被用来说明建议方法论。
Sample size determination is commonly encountered in modern medical studies for two inde- pendent binomial experiments. A new approach for calculating sample size is developed by combining Bayesian and frequentist idea when a hypothesis test between two binomial proportions is conducted. Sample size is calculated according to Bayesian posterior decision function and power of the most powerful test under 0-1 loss function. Sample sizes are investigated for two cases that two proportions are equal to some fixed value or a random value. A simulation study and a real example are used to illustrate the proposed methodologies.