Sentence examples for testing conditional from inspiring English sources

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It combines the efficiency of partial correlation for setting up network topology by testing conditional independence, and the concept of Granger causality to assess topology change with induced interruptions.

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Figure 6 Clustered bar charts for the background question "How important was it to you to do well on this test?" (conditional on RTE levels).

In essence, partial correlation, which is able to test conditional independence on multivariate Gaussian data, is used as the mathematical foundation for establishing direct interactions among genes.

Qualitative and quantitative reversion of the ELISPOT results were assessed with McNemar test, conditional logistic regression and mixed-effects hierarchical Poisson models.

We also performed association test conditional on rs1421085 (the most significant marker) to investigate whether the significant association signals between "body fatness" measures and "body fatness" markers can be explained by a single locus.

Secondly, the equality of the thresholds is tested, conditional on equal slopes.

And module III revises the genetic regulatory network constructed from component II using d-separation criteria to test conditional independency among genes.

Notice that since this is a global test conditional randomization that holds the case-control id for individual i constant is not needed.

This simulation study has examined the effect of baseline imbalance in an RCT on the bias and precision of estimates of treatment effect, and the power of a statistical test conditional on such imbalance.

The likelihood ratios for the result of the diagnostic test conditional on the values of the covariates were further obtained by subtracting the coefficients of the prior odds regression model from the coefficients of the posterior odds regression model [ 22].

Comparing with the whole nodes in the network, it is a small set of nodes should be tested in conditional independent testing with Bonferroni correction.

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