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Cumulative revision rate (CRR) curves were produced using the life table method with monthly intervals.
Survival curves were constructed using the life table method, with significance being determined using the log-rank test.
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Standard contingency table methods, with exact tests and when appropriate Mantel extension trend tests assessed univariate associations of categorical variables with CIN3 and cancer versus
We generated survival curves with the use of actuarial life table methods with Wilcoxon tests to compare survival between AHEI tertile groups, as shown in Figure 1.
First, the observed proportions of carriers in various categories of p i were compared with the expected proportions by using standard contingency table methods with the Pearson χ2 test statistic.
The cumulative revision rate was calculated using the life-table method with 1-month intervals.
Phase 2 attempts to show that the lognormal model, using short-term follow-up data, can predict long-term survival rates comparable to those calculated by the Kaplan-Meier life-table method with long-term available.
The observed survival rate (OSR) was analyzed with the life table method, the expected survival rate (ESR) was analyzed with the Ederer II method, and the relative survival rate (RSR) was equal to OSR divided by ESR [6].
To decrease the hardware complexity while maintaining sufficient accuracy, the computation of Kalman Gain is simplified with a lookup table method.
As seen in the table, our method with automated parameter setting, IDD-BM3D and our method with fixed parameter setting achieved 3, 2, and 1 best values out of the 6 scenarios, respectively, but differences among them are small and all of them are significantly better than those of Fnnmm. Figure 3 shows a zoomed area of the body of the plane.
By comparing the ROC analysis results in Table 3 (our method) with Table 5 (conventional method), the advantage of using the inversely transformed VOIs of our method is clear.
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CEO of Professional Science Editing for Scientists @ prosciediting.com