A number of recent studies have emphasized the value of genetic analysis in uncovering cryptic evolutionary diversification potentially relevant to invasion risk [24], [25], [26], and unrecognized hybrid lineages may represent an important component of this cryptic genetic diversity.
Significant advances in instrumentation, and the ability to produce huge volumes of data, have emphasized the need for adequate data analysis tools, which are nowadays often considered the main bottleneck for proteomics development.
Recent randomized clinical trials and a major meta-analysis have emphasized the importance of LDL-cholesterol (LDL-C) lowering for cardiovascular risk reduction in diabetes mellitus [1] [3].
However, many authors have emphasized the importance of adjusting for clustering in analysis of clustered data or repeated measurements for binary outcomes [ 49, 50].
Recommendations for best practices in eliciting information on women's roles have emphasized the importance of sex-disaggregated data collection and analysis.
Guidelines for the development of PRO instruments and analysis of PRO data have emphasized the need to report methods used for sample size planning.
Again, Culverhouse et al. have emphasized the importance of matching features of a replication analysis as closely as possible to features of the original published study.
This expanded analysis strategy is consistent with theoretical models of anxiety which have emphasized the link between anxiety and attunement to potential threats in the environment.
Traditionally though, Democrats have emphasized the costs of trade agreements while Republicans have emphasized the benefits.
Numerous previous studies have emphasized the percentage of SUVmax reduction.
