Your English writing platform
Discover LudwigSuggestions(5)
Exact(19)
Large-scale datasets are needed to provide further evidence for the use of CEIP in clinical practice.
For instance, large datasets are needed to acquire the knowledge regarding the molecular underpinning of disease through intensive computing capabilities.
Nonetheless, most studies which focus on the effects of immigration on earnings are usually forced to use large cross-sectional data (Census, Labour Force Surveys) because large datasets are needed to guarantee representativeness of the immigrant population (see, for example, Chiswick and Miller, 2007 and Friedberg, 2000).
The precise sample size at which bias diminishes will obviously vary between species, and additional studies with other demographic datasets are needed to evaluate the generality of these results.
We recognize that the demographic analyses of both the subsubtype A3 epidemic in West Africa and the local epidemics in Guinea-Bissau (CRF02_AG cluster 2 and subsubtype A3 cluster 1) are based on relatively few sequences (reflected by large HPD intervals, Figures 2a, c d), and analyses of larger datasets are needed to confirm the results presented in this study.
First, replication studies based on similar datasets are needed to confirm the present results.
Similar(41)
Further investigation on large datasets is needed to confirm these findings.
Further research on different datasets is needed to validate and extend our findings.
For this reason, further generation of comprehensive multi-strain datasets is needed to ensure that conceptual models of dietary response are not genotype-specific or dependent upon the properties of a single mouse genotype.
This further supports the importance of the EphB2 gene in not only AAM with familial PC but also in AAM with sporadic PC, although further validation in other datasets is needed to fully support our association.
Application of the models presented here to other large population datasets is needed to verify our findings.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com