We undertook a comprehensive data based approach to testing the consistency and utility of the MDS for administrative reporting and research uses.
We used a covariance matrix based on Gini's measure of similarity and used permutation based approaches to test significance of canonical variates.
Standard and biologically based approaches to testing interactions (such as [ 49]), including covariates for the main effects of gene carrier status and radiation dose, together with their product to test for the interaction effect, will be used.
Following the framework of an argument-based approach to test validation, this study attempts to obtain backing for the Evaluation and Explanation inferences.
Here we propose two methods, a weighted haplotype-based approach and an imputation-based approach, to test for the effect of rare variants with GWAS data.
In this study we use an endophenotype-based approach to test predictions of biological effects on Aβ42 levels for variants in CLU and CR1 and to attempt to generate biological hypotheses of risk mechanism for BIN1, CLU, CR1 and PICALM.
We then use a community-based approach to test whether age predicts bacterial assemblage composition in kittiwakes and which bacterial lineages differ between chicks and adults.
We then used a likelihood-based approach to test for a deviation from a constant-rate pattern of diversification in the focal clade.
This research took a microarray-based approach to test the hypothesis that the worker termite gut and its eukaryotic protist symbionts are potential molecular determinants of caste differentiation.
We used a hypergeometric-based approach to test the null hypothesis that the possible enrichment of H3K4me3, H3K27ac and H3K36me3 is independent of the presence of signals of natural selection.
