Sentence examples for the data was investigated using from inspiring English sources

The population structure in the data was investigated using putative population 'K' values ranging from 2-10 (10 replicates per K value) with a STRUCTURE model including admixture and correlated allele frequencies.

The normal distribution of the data was investigated using the Kolmogorov-Smirnov test.

Furthermore, the data were investigated using graphical displays (histogram, scatterplot) and the Spearman's rank correlation coefficient with its 95% confidence intervals (CI) [ 17] to determine the amount of correlation between both response scales (NS and LS) for each item.

The false discovery rate (FDR) for the microarray data was investigated using permutation analysis.

The impact of missing data was investigated using the last value carried forward (LVCF) imputation method, assuming that a participant's scores remained constant until the next response was observed.

Evidence of phenotypic differences in all parameters between lines and across generations (where the co-selection data were analysed separately from the cross-infection study data) was investigated using a general linear modelling procedure (GLM procedure) applied with the SAS Software v.8 (SAS Inst. 1999).

Sensitivity to missing data was investigated using a multiple imputation analysis.

The qualitative data were investigated using thematic analysis.

Categorical data were investigated using the chi-square test.

All MS/MS data were investigated using the Mascot search engine (Matrix Science Ltd., London, UK, http://www.matrixscience.com) against the Homo sapiens (human) subset of the Swiss-Prot and the RefSeq protein sequence databases.

Differences between groups (anthropometric and metabolic characteristics (age, body mass index (BMI), total cholesterol and total triglycerides), cholesterol absorption and synthesis ratios and all expression data) were investigated using the two-tailed Mann–Whitney U-test.