Public datasets [Software]

posted by Helmut Homepage – Vienna, Austria, 2013-07-02 17:44 (4327 d 00:27 ago) – Posting: # 10914
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¡Hola Elba!

❝ The preliminary review of my report indicates that I require verifying that my results are valid and it was recommended that I must demonstrate through a reference dataset the software performance.


OK, validation makes sense. I wonder whether your agency would have also asked you if you submitted data evaluated by commercial software. :-D

You should quote the statement of bear’s site:

Validation: We have tested bear with one of BE dataset and found that all output results to be the same as those generated by commercial software (like NCA using WinNonlin and ANOVA with SAS).


Personally I use data sets from these references:
  1. Sauter R, Steinijans VW, Diletti E, Böhm E, Schulz H-U. Presentation of results from bioequivalence studies. Int J Clin Pharm Ther Toxicol. 1992; 30/Suppl.1: S7–30.
    If you consider this reference too old, the same data are available in:
    • Hauschke D, Steinijans V, Pigeot I. Bioequivalence Studies in Drug Development. Chichester: John Wiley; 2007.
  2. S-C Chow, Liu J-p. Design and Analysis of Bioavailability and Bioequivalence Studies. Boca Raton: Chapman & Hall/CRC Press;3rd ed. 2009.
    They use this (in)famous data set:
    • Clayton D, Leslie A. The bioavailability of erythromycin stearate versus enteric-coated erythromycin base when taken immediately before and after food. J Int Med Res. 1981; 9(6): 470–7.
    The same data set is part of Pharsight’s Phoenix/WinNonlin standard installation.
  3. Millard SP, Krause A, editors. Applied Statistics in the Pharmaceutical Industry. New York: Springer; 2001.
Ad #1: No idea how they evaluated the data; probably with SAS. Ad #2: SAS and Phoenix/WinNonlin. Ad #3: You can download Chapter 7; evaluation with S-Plus (scripts run on [image] with some minor modi­­fi­cations). Maybe you should start with this one because it is the only one giving Cook’s distance plot (which is part of bear’s output). If you want to validate bear’s NCA as well, you have to go with #1 because it is the only one containing the entire concentration data.

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