Winnonlin: exclude incomplete data! [Software]

posted by Helmut Homepage – Vienna, Austria, 2014-01-10 14:41 (4553 d 10:51 ago) – Posting: # 12155
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Hi mittyri,

❝ ❝ […] Since Phoenix/WinNonlin only speaks REML, you have to exclude incomplete data. […] you have to filter for complete data in Phoenix first. Otherwise you are in mixed-effects model limbo.


❝ In the study we have 2 volunteers who were discontinued the study after 1st period (both from same sequence)

❝ Do I understand correct, that I shouldn't put the data from these subjects to WNL?


Yes. See also the EMA’s GL:

[…] subjects in a crossover trial who do not provide evaluable data for both of the test and reference products […] should not be included.


❝ I tried both options (with and without them) and recieved unequal CIs


Correct. PHX/WNL in its default setting (incomplete data included) will recover information of the between-subject variance (REML estimate of a mixed-effects model). In SAS-speak that’s Proc MIXED instead of Proc GLM. In other words, the variance will be differently split into their between-, within-, and residual components. Therefore, the CI (and CVintra) will be affected as well – though in my experience the difference generally is quite small.
See also an example in SAS 9.2 and WinNonlin 5.2.1.

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