Sentence examples for data are more appropriate from inspiring English sources

Results also reveal that ESTER-57 data are more appropriate for training than BREF-114.

Where an MSFR is of interest for an ecological study, field data are more appropriate than those collected in a laboratory situation because of the difficulties involved in realistically replicating prey availability in the laboratory [47].

GWAS data are more appropriate for this purpose than candidate gene genotyping data, as the SNPs typed in the latter type of study are often selected on the basis of annotation and therefore could produce biased results.

Neither the Basra nor the Diwaniah reports defined their malformation categories; it is unclear which Diwaniah data are more appropriate for comparison with Basra data.

18, 19 On the other hand, SNPs and partial or whole genome sequence data are more appropriate for comparisons across the worldwide distribution of malaria parasites, since these patterns are the result of long-term processes (e.g., global patterns of population structure).

It was also concluded that intensity rather than RGB data was more appropriate for reflecting the damaged areas.

38 Jacquier et al. 39 found that a Γ distribution fit their data reasonably well, but suggest that a mechanistic approach to fitting the data is more appropriate.

When data are available for multiple time periods, panel data structures are more appropriate to control for potential time invariant confounders, as for example the systematic underreporting of infant deaths or an upward bias related to regional specific characteristics [ 12].

Based on these results and because grouped data models better reflect the economical needs in meat animals, we conclude that grouped data models are more appropriate in pig.

Based on these results and because grouped data models reflect better the economical needs in meat animals, we conclude that grouped data models are more appropriate in pig.

Count data models are more appropriate than standard linear regression models for this outcome variable, which is a non-negative integer dependent variable [ 19].