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The within-day RSD values were found to be less than 0.6% indicating that the proposed method has reasonable robustness.

Furthermore, the error is estimated and the proposed method has reasonable convergence rates in spatial and temporal discretizations.

See the Results section, subsection "Tractability: Runtime Analysis" for a runtime analysis which shows that our method has reasonable runtimes on the real-world instances considered.

This method has reasonable levels of agreement with other methods of assessment and has been considered the method of choice for large epidemiologic studies [ 19].

Furthermore, Marchini et al (2005) simulated data for 300 000 loci in a similar sized case control study to ours (2000/2000) under plausible scenarios for epistatic interaction and showed that the logistic regression method has reasonable power to detect gene gene interactions even in the absence of main effects and with conservative correction for multiple testing.

Similar(55)

From Table 2, we can see that when identifying high confidence peaks, both the wavelet-based and our proposed peak detection method have reasonable results if they only used to recognize 80% of high confidence peaks, and both methods will tend to more false-positive results as criteria becomes more strict.

As shown in table 1, all methods have reasonable type-I error rates that are close to target levels in all situations that were studied.

However, epidemiological studies have indicated that web-based recruitment methods have reasonable validity [ 63, 64].

Functional data for a limited number of genes suggest that these methods have reasonable accuracy for the prediction of deleterious effects on specific proteins (Ng and Henikoff 2006).

Currently available methods have reasonable sensitivity and specificity for seizure detection and for the identification of delayed ischemia after subarachnoid haemorrhage [ 47].

> -wrap-foot> > -wrap-foot> Poweresultsts and Type I error rates for all scenarios are in Supplementary Tables S2 S7. Figure 2 depicts power results for the six trait-generating genotype phenotype models, except for the scenarios including multiple opposite-effect DSL from the same LD block (Scenarios 5 and 7 in Table 1) since none of the five methods had reasonable power (max 9%) to detect these.

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