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The data was analyzed by non-linear mixed effect regression.
Multi-level mixed effect regression analysis was performed on the data, and the mean rate of change in LII was 0.49 and 1.12 mm/week for the control and test groups, respectively.
† Adjusted prevalence were obtained using mixed effect regression model.
† Estimates are β coefficients along with standard error obtained from mixed effect regression models.
We used the lmer function from the lme4 library to perform mixed effect regression analyses [ 23].
To estimate the effect of school type multivariate multilevel mixed effect regression analysis using hierarchical models were used based on the intention to treat principle.
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Table 4: Mixed Effects regression of dSAMIntensity on Counsellor and SUDS (Experiment 1).
A similar mixed effects regression for dSAMIntensity shows that the interaction term is significant (Table 4, note missing observation).
We use mixed effects regression with Counsellor as the fixed effect and individual as the random effect (see Methods), with the results in Table 2.
Mixed effects regression modeled multilevel outcomes across 4 assessment points (i.e., baseline, mid-test, post-test, 6-month follow-up).
Intent-to-treat, mixed effects regression models of depression and other relevant ratings were estimated.
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