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We suggest three possible scenarios as to why a study may use a multivariate model, and deal with each in turn.
Our strategy to estimate excess costs was to use a multivariate model with cases and controls with excess costs defined as the adjusted difference in costs between cases and controls.
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Institutional differences in the care of patients free of complications were assessed using a multivariate model.
Data were analyzed using a multivariate model, which demonstrated that sex (female), baseline anxiety, and the length of waiting time were predictive of increased anxiety.
Using a multivariate model controlling for stage, neither routinely detected neural infiltration nor enhanced immunohistochemical characterization of neural infiltration was significantly associated with disease-free or overall survival.
We assessed outcomes in social/health maintenance organizations (S/HMOs) and Medicare fee-for-service (FFS) care using a multivariate model to estimate active life expectancy (ALE).
Using a multivariate model, we did not find an association between self-reported activity and likelihood of a fall injury.
Figure2 emphasizes the importance of using a multivariate model (the PC-based technique referenced in the previous section) to utilize information throughout the full spectrum in constructing the classification formula.
Since then, the ESC practice guidelines recommend integrating the risk predicted using a multivariate model adapted to European populations [8] in the treatment decision [7].
Condom use during last sexual intercourse was analyzed using a multivariate model corrected for clustering effects.
We then adjusted the analysis for differences in baseline disease characteristics using a multivariate model (adjusted model).
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