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Sample size determination is commonly encountered in mod medical studies for two independent 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 axe used to illustrate the proposed methodologies.