If u see a BEar don't forget to R oaρ [General Sta­tis­tics]

posted by Astea – Russia, 2018-02-09 20:47  – Posting: # 18392
Views: 8,883

Dear all!
I tried to repeat the Helmut's conclusions. I used 70 datasets from 63 2x2x2 studies. My rho is 0.797 for untransformed data and 0.799 for log-transformed. Meanwhile it tends to have the inverse situation, that is there are more values lower than 100 comparing to those uper than 100 (66% for Cmax and 63% for AUC). Suppose it is just an artefact of low sample size..
[image]

P.S. One dummy's question about PowerTOST from GitHub: while trying to do devtools::install_github("Detlew/PowerTOST") I got:
package ‘mvtnorm’ successfully unpacked and MD5 sums checked
Warning: cannot remove prior installation of package ‘mvtnorm’
In R CMD INSTALL
Installation failed: Command failed (1)


Should I delete it manually or ...what to do?

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