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However, by scaling the school effectiveness variables and the home background variables as latent variables, Martin et al.
In their analysis, Martin et al. used five school effectiveness variables and two student home background variables as predictors in the country-specific hierarchical linear models.
In both groups, the main effectiveness variables (reduction in the number of seizures and days with headache at four months of treatment and responder rates) were analysed.
A cost-analysis was conducted taking into account costs associated with MS treatment, spasticity and relapse management, and changes in the PSFS, MAS, ATRS, GPS and EDSS as effectiveness variables.
If the results of these analyses were, in fact, comparable across countries, in most countries the strength of the relationships between school effectiveness variables and student achievement should be relatively weak after controlling for student home background.
Thus, it is also possible that the cross-national variation of the prediction coefficients of the school effectiveness variables and the home background variables was at least partially a methodological artifact due to the general inconsistency of measurement invariance and predictive invariance.
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Taking the QALY as the effectiveness variable, Cardio inCode® was the most cost-effective option compared with the standard method (for a willingness to pay less than €30,000 or €36,000 per QALY gained) in 82.0 and 89.5 %, respectively, of the simulations performed on the REGICOR cohort, and 65.7 and 73.7 %, respectively, of the simulations performed on the Framingham cohort (Fig. 3).
The primary effectiveness variable was the mean total score of the Investigator Assessment Questionnaire (IAQ) at Week 26.
The primary effectiveness variable in the trial was the mean total score of the 10-item IAQ at Week 26, last observation carried forward (LOCF).
Using a multinominal logistic regression we explored the association between attitudes towards safety and effectiveness (dependent variables), and age and education (covariants).
Logistic regression was used to predict whether or not perceptions of effectiveness (dependent variables) were associated with reasons for use (covariates).
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