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Thank you, Wilbert. I was not aware of that publication – thank you for sharing!
J
From: Wilbert de Witte
Date: Friday, August 18, 2023 at 2:08 AM
To: Gobburu, Joga
Cc: James G Wright , nmusers@globomaxnm.com
Subject: Re: [NMusers] Observed (yaxis) vs Predicted (xaxis) Diagnostic Plot -
Scien
Hi SĂ©bastien,
My understanding is that keeping all thetas additive makes mu r referencing
more efficient. The underlying mu reference math is then accurate for
matrix linear formulations.
My understanding is not perfect for this, so I'll defer to others if there
is a different answer.
Thanks,
Hi
Training material distributed during an ICON training contains the following
verbatim statements about mu referencing
"
Code already defined as Typical Value (TV), actual value (as recommended by
Beal) are easy to convert:
– TVCL = THETA(1)*AGE**THETA(2)
– MU_5 = LOG(TVCL)
– CL = EXP(MU_5+ET
Dear Martin and NMusers,
With reference to Martin saying that “A greater problem with these plots is
the commonly held expectation that for a "good model" a smooth or
regression line should align with the line of unity. Though this seems
intuitive it is a flawed assumption”, I would like to defen