New dataset? [🇷 for BE/BA]

posted by yjlee168 Homepage – Kaohsiung, Taiwan, 2010-05-05 14:31 (5523 d 11:13 ago) – Posting: # 5296
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Dear D. Labes,

Great and nice suggestions. I only changed parallel raw dataset that will be used when running demo from "NCA -> Statistical analysis" only, since bear has been developed. So it contains seq, per, trt, time, and drug conc.. However, in bear, we also have independent demo datasets for NCA or statistical analysis ONLY. These dataset were most artificial and they had nothing to do with the related raw dataset (demo for "NCA--> Statistical Analysis"), such as 2x2x2 crossover. Helmut was confused by this before (see this post). I am very sorry about this. But I will keep in my mind not to change these dataset later.

❝ IMHO it would be a very good idea to have the same demo datasets across the various versions.


❝ It would also a very good idea to have the same datasets regardless if we start from NCA or later with statistical evaluation, i.e. the concentration-time values of a demo dataset should correspond to the PK metrics used later.


This suggestion will definitely conflict with the previous one, because I will need to change some of datasets. However, it's really a very good idea.

❝ BTW: I question your results! Full match of the results with log to full precision or with log rounded to 3 digits (after dec. separator), respectively, in the ANOVA's and the CI's up to the last printed digits has a probability of very near to zero.


Yes, it is possible, but most of time (I think) are unlikely. The transformed from original data, such as Cmax and AUCs, are done under R, not manually. That's why it makes no difference, because both transformations are done by the same machine under R. It could be different when comparing between different machines, such as a 32-bit vs. a 64-bit machine, or between different OS.

All the best,
-- Yung-jin Lee
bear v2.9.2:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here

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