SAS vs. PHX/WNL [Bioanalytics]
Hi to all,
Correct for WinNonlin. SAS doesn’t try “Proc GLM” – it will use it if stated in the code (actually what John did). If we have incomplete data (period missing) we should get identical results if all data are kept:
❝ This could be the case if there is one or more subjects having some period data missing; didn't I read somewhere that WNL will do a max likelihood optimisation by default (=essentially a mixed model) whereas SAS will try Proc GLM (normal linear model).
❝ The mixed model versus normal linear model would explain the subtle difference which then isn't a matter of decimals carried.
Correct for WinNonlin. SAS doesn’t try “Proc GLM” – it will use it if stated in the code (actually what John did). If we have incomplete data (period missing) we should get identical results if all data are kept:
- SAS Proc mixed = WinNonlin’s default random effects model evaluated by REML.
- SAS Proc GLM = WinNonlin all fixed effects model: random effect subject(sequence) deleted and added to the fixed effects.
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