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Interestingly, the result for health only shows up at the most conservative threshold of SEK 0. For higher thresholds, the interaction between poor health and unemployment becomes insignificant and approaches zero.
In this analysis we have adopted the most conservative threshold value available in QDMR (SD = 0.015).
Sufficient concordance to assume interchangeability was set to 95%, following the most conservative threshold proposed by Critchley et al. [ 19].
Concordance was calculated as the percentage of data within ± 10% 'tram line', a criterion chosen in analogy to the traditional concordance: sin θ ⋅ Δ P i C C O + Δ V o l u m e V i e w 2 < 10 % Again, sufficient concordance to assume interchangeability was set to 95%, following the most conservative threshold proposed by Critchley et al. [ 18].
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The results are presented for the 100 nt minimum and 500,000 nt maximum (table 2, supplementary table S2 B, Supplementary Material online), as well as for the most conservative thresholds, 300 nt minimum and 50,000 nt maximum (supplementary table S2 A, Supplementary Material online).
We found 317 drug-responsive transcripts in the striatum at the most conservative statistical threshold (P < 0.05 after Bonferroni correction, nominal P = 1.36 × 10-06).
It should be noted, however, that these correlations narrowly missed significance when corrected for multiple comparisons at the most conservative Bonferroni threshold (P = 0.016).
For the MSP analyses, we employed the most widely-used conservative thresholds, originally proposed by Lander and Kruglyak (1995) [48] (LK-significant = 2.2E-05, LK-suggestive = 7.0E-04 7.0E-04
The high threshold represents the most conservative annotation approach (with the least false-positives), followed by a gradual reduction in stringency, including medium-high, medium-low, and low thresholds.
It is worth noting that the second most significant (although not below the conservative threshold of significance) functional gene group associated with cognitive ability in this study was the group of "transmitter synthesizing and metabolizing proteins," which includes the COMT and monoamine oxidase A (MAOA [MIM 309850]) genes.
The most conservative (in this case – overestimating) linear no-threshold hypothesis was used to calculate excess cancer expectations for cleanup workers, the population of the contaminated areas and the global population.
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