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Computing similarity factor (f2) bootstrap bias corrected and accelerated confidence interval

The goal of this project is to develop a Data Envelopment Analysis(DEA) program using Stata programming language. This is the replacement of "deastata" project that we maintained for the purpose of version management. We call the program package "DEAS" which stands for Data Envelopment Analysis using Stata. DEAS covers the basic models of DEA and extensions including CCR, BCC, SBM, Super-efficiency Model, Allocative Model(Profit, Revenue, Cost), (Global) Malmquist Productivity Index...

BOOTPM is a MatLab script that estimates transition probabilities and their standard deviations both theoretically and using the bootstrap technique. It creates N samples sampling -with replacement- M observations and then computes the relative N TPM's. Then, it simply computes the standard deviation of each transition probability using the distribution across all the N TPM's. It also compares the boostrapped results to results estimated thoeretically, to detect "strange" results. ...

This program was developed as a help in establishing pharmaceutical equivalence by use of FDA f2 coefficient. It was designed to help with f2 computation in cases when intra- and inter-batch variability is large, namely RSD>10%. The use of statistical bootstrap technique allows to implement confidence interval (CI) into the f2 coefficients resulting in overcoming of their major drawback in the original metrics. The algorithm provides possible “worst case scenario” of f2 values, thus supporting claim about pharmaceutical equivalence. The target users are researchers from industry and academia dealing with pharmaceutical equivalence problem. ...