consider an all-fixed effects model [General Sta­tis­tics]

posted by Helmut Homepage – Vienna, Austria, 2015-03-04 01:24 (3779 d 18:22 ago) – Posting: # 14541
Views: 5,710

Hi Mahmoud,

Dear Dr

❝ What did you mean

❝ ❝ This is not a boys-only club

❝ not good words for me


Well, I meant that a top level post should be addressed the entire group of forum members – not to the “Sirs” only. Might be offensive to our female members. BTW, I’m not a Dr…

❝ I ask you about if the P-value for the random effect Subject(Sequence) in the ANOVA > .05 which means that MSinter=MSintra


A nonsignificant p-value does no imply that MSinter=MSinter. Not sure what you mean here.

❝ 2. if CVintra > CVinter we need to find REML estimator for MSintra


❝ to find the C.I for PK


Is this a software issue? In a mixed-effects model (SAS Proc MIXED or the default BE setup in Phoenix / Win­Nonlin) sometimes rarely you may run into convergence issues (i.e., a negative esti­mate of the subject(sequence) term). Which software did you use – and which code? Consider switching to an all-fixed effect model (SAS Proc GLM without the RANDOM term; in PHX/WNL delete Random 1 sub­ject(sequence) and add it to the fixed effects). Note that with such a setup you cannot estimate CVinter any more. However, it is not necessary for BE (which is estimated from the residual error). CVinter is only “nice to know”.

See also these threads: #10139, #12289.

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