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The mixed model allowed subject-specific intercepts and slopes.
The linear mixed model allowed us to account for any correlation of paired outcomes from the same participant.
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The mixed model allows the prediction of the Sauter mean diameter without any adjustable parameter.
Linear mixed model allows inclusion of correlated observations.
Combined amino acid N- and C-terminal analyses implemented a "mixed" model, allowing switching between models plus a gamma distribution.
The mixed model allows a utility value for any combination of disease states and toxicities to be calculated.
Data were analysed using a mixed model allowing for participants to be their own control in their roles as leader or follower.
Both the generalized estimating equation and linear mixed model allow for correlation among observations on the same person and enable participants to be included in the analysis if they had data at one or more time points (27, 28).
Methods Yearly data between 2000 and 2009 based on 12 world development indicators were used in a multivariable general additive mixed model allowing for non-linear relations and lag effects.
The linear mixed model allows for the investigation of group differences while controlling for the non-independency of data (i.e. more than one child participated per family, which resulted in related measurements within groups and between groups).
Faculty sentiment is that this mixed model allows the participant to investigate learning the necessary bioinformatics skills on their own pre-workshop and attempt their application to their own research data, but then allows the participant to reinforce or gain detailed tool-usage techniques and analysis strategies specific to their own data set in the face-to-face learning environment.
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