[R-sig-ME] The criteria of MLRA parameter

Thierry Onkelinx th|erry@onke||nx @end|ng |rom |nbo@be
Thu Mar 28 15:47:06 CET 2019

Dear Hasyim,

It is explained here:

Many universities have buildings named "library". In these buildings you
can find strange objects made of paper. Some people call them "books".
Those how possess the "reading" skill can extract useful information from
these "books".

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be
Havenlaan 88 bus 73, 1000 Brussel

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey


Op do 28 mrt. 2019 om 15:07 schreef hasyim hasyim <hasyim73 using outlook.com>:

> Hi everyone,
> Could you please explain this in detail to me the criteria of each
> parameter below that use in multilevel regression logistic analysis (MLRA)
> such as:
> the Median Odds Ratio (MOR),
> 80% Interval Odds Ratio (80% IOR),
> Proportion of Odds Ratios of opposite direction (POOR),
> Intraclass Correlation Coefficient (ICC),
> the Proportional Change of the Variance (PCV), and
> Area under the receiver operating characteristic curve (AU-ROC)
> Thank you, I really appreciate your help.
> Kind regards
> Hasyim
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