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Figure 6 shows the correlation coefficients of variable pairs for cluster 4, the cluster most closely associated with death, and cluster 1, which was most closely associated with good outcome.
The control coefficients of variable x to parameter p were calculated using the following equation: The finite difference method was used to approximate the derivative in the above equation, where h is the step size: The step size h was chosen as h = 1%· p, because 1% increase in the value of p has been shown to yield numerically stable results.
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A score was built-up according to the logistic regression coefficients of variables available before debridement.
The lower section of Table 5 presents coefficients of variables in the inefficiency equation and their associated t-ratios.
According to our null hypotheses, estimate coefficients of variables Sanc_Aud and Event_Sanc are expected to be negative and positive, respectively.
As it can be seen in the zoning map of factor 1, correlation coefficients of variables in each sample ranged from −0.93 to +2.76.
Table 4 Coefficients of Variables of factors influencing consumers' perception of the environmental effects of organic agriculture using Stepwise Multiple Linear Regression Model Variable Unstandardized coefficient Standardized coefficient t value Sig.
Table 6 Coefficients of Variables of factors influencing consumers' perception of health benefits of organic vegetables using Stepwise Multiple Linear Regression Model Variable Unstandardized coefficient Standardized coefficient t value Sig.
Interday and intraday coefficients of variables were 5.5% and 4.17%, respectively.
We constructed a nomogram with the beta coefficients of variables in the reduced model.
Caution is warranted in the interpretation of coefficients of variables that are potentially endogenous, but the decomposition itself remains valid.
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