Bootstrap confidence intervals for dissolution similarity factor f2
Mohammad M Islam · Biometrics & Biostatistics International Journal · 2018
Parametric and non-parametric bootstrap methods are used to investigate the statistical properties of the dissolution similarity factor 2 f .The main objective of this study is to compare the results obtained by these two methods.We estimate characteristics of the sampling distribution of 2 f statistic under these methods with various bootstrap sample sizes using Monte Carlo simulation.A number of bootstrap confidence interval (CI) construction techniques are used to determine a 90 % CI for the true value of 2 f under both parametric and non-parametric schemes.The bootstrap sampling distributions of 2 f under both schemes are found to be approximately symmetrical with a non-zero excess of kurtosis.Non-parametric bootstrap confidence intervals for 2 f perform better than those obtained from parametric methods.The Bias corrected (BC) and accelerated bootstrap percentile (BC a ) confidence interval method produce more precise two-sided confidence intervals for 2 f compared to other methods