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Three conditional tests move the process through the sequence of levels: Open image in new window Fig. 1 Methodology framework A. Does the alternative provide positive net benefits?
To verify whether this assumption was right, we performed permutation tests following the standard theory of conditional tests [18].
The most significant predictors in the conditional tests were selected using the "best" selection method, using the Akaike Information Criterion and Bayesian Information Criterion [37].
Finally, we performed two hypothesis driven related conditional tests (independent effect and sole variant tests) to try to identify which variant, or variants, is solely and independently associated with the disease [45].
For this reason, in this first part of the study LD helps us to identify, more easily, the region which contains the genes associated with MS but fine mapping is harder as a result and the power of our conditional tests is affected by the strong LD in this population.
Exact conditional tests and confidence intervals can then be developed.
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First, the FBAT statistic is a conditional test, which is it conditions upon the parental genotype(s).
Indeed, the conditional test results' dynamic correlation reveal well that the contagion effects appear to be multidirectional since the Ebola virus emanating return shocks can actually sweeping across the entirely of the markets.
For this reason, the anomaly detection was based on the following conditional test: {varepsilon}_{mu }={displaystyle sum_{q=1}^{Q_{mu }}}left|{a}_{j,k+q}^{mu}right|>{T}_{mu } (3).
For screening purposes, we selected those SNPs with a permutation-based p-value below 0.05 in the conditional test.
The results of the DistLM analysis were a marginal test, fitting each predictor individually, and a conditional test, fitting each predictor conditional on the predictor(s) already in the model [37].
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