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A standardized questionnaire was collected for multivariate risk analysis.
A multivariate risk analysis revealed that tumor lymphangiogenesis was the most sensitive prognostic marker for melanoma sentinel LN metastasis [ 39].
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Table 4 shows the bivariate and multivariate risk factor analysis for preterm birth by regions and globally.
As regards the week of feed delivery, the difference between the univariate and the multivariate risk factor analysis was probably due to the fact that farms receiving feed on more than one occasion were included in the multivariate analysis.
Multivariate risk factor analysis showed that the likelihood of an error increased for every additional item included on the prescription (OR 1.14, 95% CI 1.12 to 1.17, p<0.001; table 6).
Further, multivariate risk factor analysis demonstrated that HMGA2 expression was found to be a significant independent predictor of death of carcinoma and as an independent prognostic marker for disease-specific overall survival [ 11].
In a multivariate competing risk analysis of breast cancer specific survival, we included only those variables that were significant in the univariate analysis.
Our data illustrated well that biological age can substantially differ from the chronological patient age and why age was a univariate, but not multivariate risk in our analysis.
We ran a multivariate competing risks analysis, performed by the Fine and Gray proportional subdistribution hazard regression model.
Often we are concerned with multivariate stochastic modeling and risk analysis of the systems and processes that involve the derivation of probability distributions of the random variables considering the dependence structure among them.
We then explored the effects of risk factors for complications after operation with univariate and multivariate Fine and Gray competing risk analysis.
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