Sentence examples for by using a hypothesis from inspiring English sources

Consistency between direct and indirect evidence from two-arm trials can be assessed by comparing characteristics of direct and indirect evidence trials and by using a hypothesis test to indicate whether there is a significant discrepancy between the treatment effect estimates calculated from each evidence type although the test has low power [2], [3], [8], [57].

Our strategy for this issue is to prune irrelevant combinations, such as those in which the expression values of two genes are randomly distributed as in Figure 1a, by using a hypothesis test assuming the normality of given examples.

The statistical significance of specific attribute values predicting the ageing-related class (as found by the data mining algorithms) was measured by using a hypothesis test based on the binomial distribution, as follows.

We approached the clinical need to identify predictive biomarkers for cytotoxic chemotherapy and new therapeutic targets in gastroesophageal cancer by using a hypothesis generating approach with global gene expression profiling of a panel of cell lines selected for resistance to clinically used cytotoxics.

In the first week of the outbreak, eight of the initial patients were interviewed by using a hypothesis-generating questionnaire adapted from the " Salmonella Trawl" (an existing questionnaire of the Communicable Disease Surveillance Centre in England).

In a second experiment, we decided to assess the validity of this low-dose estimate by using a hypothesis-testing approach where the 40 nM concentration was retested with a large number of replicates and compared with control readings without further dose response analysis.

Spatial maps were processed by using an alternative hypothesis test based on the fitting a Gaussian/Gamma mixture model to the distribution of voxel intensities within spatial maps and a posterior probability threshold of p > 0.5.

All statistical analyses were carried out by using a two-sided hypothesis test with a type I error (alpha) of 0.05 (i.e., a 5% level of statistical significance).

The lane recognition problem is formulated by using a set of hypotheses to determine the parameters of road model.

SNPs that systematically misclassified reads were filtered out by using a one-tailed binomial hypothesis test with the null hypothesis that 'good SNPs' have an underlying acceptable error rate of ≤5% (H_0: Percent_misclassified ≤ 5%).

In this paper, we experimentally investigate the guilt aversion hypothesis by using a trust game with pre-play communication.