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(1) Removing SSoD and SA policies from our consideration which do not cause policy inconsistencies using "static pruning" technique.
Kopetz et al. [18] propose the C-State-based CRC [18] method that can detect state inconsistencies using certain information such as TDMA slot information, current mode, global time, and membership information.
The query was checked for inconsistencies using PubMed Query Editor 0.1.
We formally assessed for inconsistencies using the back calculation method suggested by Bucher et al [ 18, 19].
Data was entered, cleaned and coded and checked for missing values, outliers and inconsistencies using SPSS Version 16.
21 Shaver et al already reported some inconsistencies using published cut-offs for remission of DAS28 and CDAI and therefore recommend cautious use of these with patients.
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We illustrate this inconsistency using Figure 1.
Specifically, we will explore ways to detect inconsistency using standard procedures for linear models available in most statistical packages.
We accessed the statistical heterogeneity between studies using the χ² test and evaluated the extent of inconsistency using the I² statistic.
For example, different analysts may define "inconsistency" using different threshold values for I2 (which is a statistical measure of the consistency of study results).
Finally, a thorough investigation of all available methods to evaluate inconsistency using realistic scenarios informed by empirical evidence would be needed for completeness [ 5– 7].
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