Exact(3)
Mixed model uses maximum likelihood estimation to handle missing data, without the use of ad hoc imputations.
Because the mixed model uses all available data, the estimated SDs produced are generally slightly lower than those derived by descriptive statistics.
In contrast, a joint latent class mixed model uses all of the information from the quantitative cognitive score(s) and can model trajectories and co-occurring events, such as death, in multiple sub-populations.
Similar(57)
Data were analysed as a mixed model using the PROC MIXED of SAS.
Plasma glucose levels over time were compared between groups with a linear mixed model using SAS software.
The mixed model used fixed treatment and assessment period effects.
We propose to use a multi-level mixed model, using "study" as one of the levels.
Mixed model used for statistical analysis with post-hoc comparisons using Tukey's HSD.
A mixed model, using a random effect for participant, will be used to analyse the data.
The data collected were analysed in a mixed model using ASREML 3.0 (Gilmour et al., 2009).
Obtained from a linear mixed model using 202 admissions among 94 patients.
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