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In this paper we study the conditional diagnosability of matching composition networks under the comparison model (MM* model).
Under the comparison model, faulty nodes make an unreliable comparison.
Suppose that G is restrictively one-step t-diagnosable under the comparison model.
Suppose that G is one-step t-fault diagnosable under the comparison model.
On the other hand, suppose that all vertices of G are one-step t-identifiable under the comparison model.
In this paper, we develop a localized fault detection algorithm under the comparison model for ease of handling scalability and mobility management in a strongly t-diagnosable WANET.
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The overall revenue & costs under the proposed model and the comparison model are shown in Table 1.
The combined results of the overall comparison indicated that there were significant associations between the TLR2 Arg753Gln polymorphism and sepsis risk under the allele comparison model and the dominant model, respectively (for A vs. G, OR 1.76, 95%% CI 1.05 2.95, P = 0.03; for AA/GA vs. GG, OR 1.92, 95%% CI 1.11 3.32, P = 0.02) (Table 2, Figs. 2 and 3).
Figure 5 and Figure 6 showed the funnel plot under the heterozygote comparison model (C1C2 versus C1C1) and the allelic model (C2 versus C1).
Additional file 1: Galbraith plot of the TLR2 Arg753Gln polymorphism and the risk of sepsis under the allele comparison model.
Meta-analysis results of the association between TGFA Taq I polymorphism and CL/P risk under the heterozygote comparison model (C1C2 versus C1C1), the dominant model (C1C2 + C2C2 versus C1C1), and the allelic model (C2 versus C1) were also shown in Figure 2, Figure 3 and Figure 4, respectively.
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