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Attempts to assess the importance and interdependence of the various risk factors in a multivariate model are restricted to a small number of examples; the authors focus their analysis onto characteristics of the fracture and neglect patient history factors, as reported by Audigé et al. [4] in a retrospective study and by Hee et al. [5] in a prospective study.

The factors included in the multivariate model are shown in Table 4. Several child characteristics were found to significantly affect MEMS adherence.

The variables remaining in the final multivariate model are summarized in Table  2.

§Significant factors constituting the multivariate model are indicated by '*' (i.e., P < 0.05).

The exact formula and coefficients of the multivariate model are given in Fig.  1.

All of the variables initially included in the multivariate model are summarized in Table  1.

A multivariate model was developed in the derivation cohort using an exhaustive modeling approach.

A bivariate case of the proposed multivariate model is presented.

The multivariate model is then assessed based on the Bayesian point and interval hypothesis testing approaches.

Another multivariate model is proposed by King et al.

Variables included in the multivariate model were age, gender, race, SES, and MOI.