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Significant p-value in multivariable model are in bold.

Variables in the multivariable model are adjusted for all other variables in the model.

The results of the multivariable model are shown in Table 4.

The results of the multivariable model are presented in Table  1.

Independent predictors of MRSA carriage on admission for each multivariable model are shown in Table  2.

The results of the multivariable model are reported in Table 2 where E-cadherin 0 and 1+ are grouped together.

Second, the novel grey multivariable model is established, combined with the changing trends of driving variables.

To this end, a novel grey multivariable model is designed in this paper.

A multivariable model is identified for the experimental flexible structure by using these orthonormal basis functions.

The final multivariable model is demonstrated in Table 3.

A single multivariable model was produced.