Sentence examples for tests of the conditional from inspiring English sources

A single correct population was provided for the tests of the conditional mode.

Tests of the conditional likelihood ratio comparing item parameter estimates in different subpopulations defined by total scores on the EORTC nausea scale, by different time points and by values of exogenous covariates, revealed evidence against the Rasch models (c = 17.7, df = 8, p = 0.02).

Paradigm 2 includes the statistical test of the conditional AUC including the DeLong et al. method and the U-statistics based method.

The null distribution used, however, was not the standard normal but was based on permuting the age cohort distribution within each sample source, which provides an exact test of the conditional independence of age given the sample source.

We have considered four methods including two statistical association tests (the LR test and the Wald test) and two types of AUC tests (the F test of ideal AUC and the nonparametric test of the conditional AUC including the DeLong et al. method and the U-statistics based method).

The overall test statistics of the conditional moment tests clearly point in the same direction, with a p-value of nearly 1. Simulations by Hosmer et al. ([1997]) show that the choice of the number of groups for the x2-based goodness-of-fit test can yield differing results.

The test statistic of the conditional Likelihood Ratio Test approximates its limiting distribution very fast.

Prior applications of information theory to medical decision making have largely focused on the evaluation of diagnostic tests, by determining the conditional probability of a disease state given the result of the test.

To identify differentially activated TFs for two-sample comparisons, we propose incorporating two tests measuring different aspects of the conditional relevance of a TF.

In both of the cases tested, the normalized RMS of the conditional fluctuations around both the two- and three-condition conditional averages are relatively small.

The raw data were summarized as sensitivity (the conditional probability of the dog indicating cancer when the condition was present) and test specificity (the conditional probability of the dog ignoring a sample from a healthy donor).