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The use of mixed models allows for the estimation of separate stratum variances thus providing a more complete description of the data (Gilmour et al. 1995).
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Linear mixed models allowed us to accommodate multiple measures per person.
Mixed models allow for dependence of observations provided by the same respondent.
34 Mixed models allow the analysis of data in field studies, that is, data occurring authentically.
Measurements of the two investigations are not independent and mixed models allowed for adjusting for within-participant effects [ 47].
Measurements of the two investigations are not independent and mixed models allow adjusting for within-participant effects [ 23].
Linear mixed models allow for the correction for the presence of twin families in a sample [ 71].
In addition, because mixed models allow the modelling of individual trajectories over time (via random effects), they are more appropriate to perform individual prediction than GEE.
In addition, because H-EPESE data comprised repeated measures over 6 years, mixed models allowed more flexibility in modeling the effects of time on outcome.
Finally, because the H-EPESE study contains repeated measures over seven years, mixed models allow more flexibility in modeling the effects of time on outcomes (Liang and Zeger 1986; Zeger and Liang 1986).
Longitudinal analysis of radiologic joint damage in patients with RA was performed using generalized linear regression models with random coefficients (mixed models), allowing for analysis of repeated measures within a patient.
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