We calculated summary statistics for diagnostic accuracy and triage advice with 95% confidence intervals based on binomial distribution using Stata/MP 13.0.
Figure 3D-I give summary statistics for the accuracy of the regulatory networks when limited to the best single-input, two-input, etc. models of each gene.
This is one of the reasons we chose to include DOR's as another summary statistics for pooling accuracy of clinical signs in our study.
In addition, we also evaluate the performance of our method by applying the Bootstrap procedure, which is a technique widely used in statistics for evaluating statistical accuracy [see, Davison and Hinkley (2006) for a review].
Unlike most posts, where I spend days researching statistics and analytics for accuracy and precision, this was a post where I wrote straight from my heart, unfolding the apparent emptiness that I constantly felt towards the holiday season.
Before the analyses, we examined age, current alcohol use, current smoking, ES, and the lead exposure metrics using univariate descriptive statistics to check for accuracy of data entry, missing values, and assumptions underlying multivariate analysis.
The predictive accuracy statistics for differentiating PICU sepsis from ED sepsis (Table 2) show accuracy of 0.87 and AUROC 0.95 (SD 0.01).
The predictive accuracy statistics for differentiating PICU sepsis from ED sepsis (Table 2) showed accuracy of 0.78 and AUROC of 0.88 (SD 0.03), which were not as high as the values for NMR metabolomics.
The predictive accuracy statistics for differentiating PICU sepsis from ED sepsis (Table 2) show accuracy of 0.89 and area under the ROC (AUROC) of 0.96 (standard deviation [SD] 0.01).
Due to this drop, accuracy statistics for longer routes would not be reliable anymore, and thus longer routes have not been considered.
