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Furthermore, we also attempted to modify the PVN classification using the weight given to each factor based on its median hazard ratio obtained using the multivariate analyses in this study.
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The univariate parameters with P<0.05 were used in the multivariate analyses using backwards selection.
Subsequently, we explicate our data, the operationalization of the variables used in the multivariate analyses, and the statistical procedure.
Principal component analysis (PCA) was used for the multivariate analyses.
List-wise deletion was used in the multivariate analyses.
Logistic regression models were used for the multivariate analyses.
A logistic regression model was used for the multivariate analyses.
Linear regression was used in the multivariate analyses.
The mean scores of the 17 items were used in the multivariate analyses.
The procedures PROC MIXED and PROC GLM were used for the multivariate analyses.
A log FEC+1) transformation was used for the multivariate analyses of the transformed faecal egg count.
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