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Differentially expressed genes were inferred by univariate statistical analysis.
Differentially expressed individual proteins were identified by univariate statistical analysis.
By univariate statistical analysis, it shows that all the indicators including serosal invasion, tumor classification, tumor enhancement pattern, tumor thickness, number of lymph nodes, maximum lymph node size, lymph nodes station and Lymph node enhancement are significant different between LNM positive and negative group (P < 0.001).
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These features were analyzed by a univariate statistical analysis of the unadjusted AUC.
Age, diabetes mellitus, disseminated intravascular coagulation[ 4], impaired consciousness on presentation[ 4, 5], presence of shock and infection with phage type 95[ 1] have all been associated with a poor outcome by an univariate statistical analysis.
Despite these studies pointing to a particular status of the eye region in face recognition, there is no obvious diagnostic information in this region to allow face recognition, at least by using a univariate statistical analysis approach with the present face database (Figure 10).
However, the former patients were characterized by a significantly inferior survival in a univariate statistical analysis (log rank 17.94; P < 0.0001).
Univariate statistical analysis showed that negative ER detection by immunohistochemistry (IHC) was highly correlated with chemosensitivity (P = 0.001).
The univariate statistical analysis of categorical variables was made using 2 by 2 tables and the Fisher test.
Univariate statistical analysis of the data was used.
Data were normalized, multivariate and univariate statistical analysis performed and metabolites of interest putatively identified.
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