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Accordingly, their contribution in the respective multivariate models is high.
The potential problem of optimistic prediction in multivariate models is well recognized (3).
The predictive power of these multivariate models is comparable to that of IGT.
A straight-forward approach to extend multi-stage methods to multivariate models is lacking and requires further research.
One limitation of the power analysis method based on general linear multivariate models is that it is a calculation for complete cases.
We believe the utilisation of multivariate models is better than the successive pair-wise comparison approach presented by Bland and Altman for a number of reasons.
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Multivariate models were adjusted for BMI and education.
Other risk factors for resorption in multivariate models were the use of external ventricular drains and lumbar shunts.
Several multivariate models are developed to examine the significance of spatial factors in explaining life satisfaction.
Parameters of Gaussian multivariate models are often estimated using the maximum likelihood approach.
Final multivariate models were adjusted for age.
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