Showing 4 open source projects for "bootstrap"

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  • 1

    bootf2BCA

    computing f2 bootstrap CI BCA

    Computing similarity factor (f2) bootstrap bias corrected and accelerated confidence interval
    Downloads: 6 This Week
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  • 2
    Statistics101 - Resampling Statistics

    Statistics101 - Resampling Statistics

    Use simulation to perform statistical analyses.

    Statistics101 is an Integrated Development Environment (IDE) that uses a simple, powerful language called “Resampling Stats” to develop Monte Carlo programs to analyze and solve statistical problems. The original Resampling Stats language and computer program were developed by Dr. Julian Simon (https://www.juliansimon.com/) and Peter Bruce (https://www.scientificamerican.com/author/peter-bruce/) as a new way to teach Statistics to social science students. Of course, social science students...
    Downloads: 11 This Week
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  • 3
    Data Envelopment Analysis using Stata

    Data Envelopment Analysis using Stata

    Develop a user written Data Envelopment Analysis package in Stata.

    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...
    Downloads: 0 This Week
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  • 4

    PhEq_bootstrap

    FDA's f2 computation with bootstrap technique

    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. ...
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    Downloads: 37 This Week
    Last Update:
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