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Assessing The Effect Of Prior Distribution Assumption On The Variance Parameters In Evaluating Bioequivalence Trials, Dawud A. Ujamaa
Assessing The Effect Of Prior Distribution Assumption On The Variance Parameters In Evaluating Bioequivalence Trials, Dawud A. Ujamaa
Mathematics Theses
Bioequivalence determines if two drugs are alike. The three kinds of bioequivalence are Average, Population, and Individual Bioequivalence. These Bioequivalence criteria can be evaluated using aggregate and disaggregate methods. Considerable work assessing bioequivalence in a frequentist method exists, but the advantages of Bayesian methods for Bioequivalence have been recently explored. Variance parameters are essential to any of theses existing Bayesian Bioequivalence metrics. Usually, the prior distributions for model parameters use either informative priors or vague priors. The Bioequivalence inference may be sensitive to the prior distribution on the variances. Recently, there have been questions about the routine use of inverse …