Sentence examples for and comprehensiveness of data from inspiring English sources

Exact(2)

Second, the quality and comprehensiveness of data in the Regional Registries in Poland differ significantly [ 15].

Because programs often fall short of efficient use of data to inform decisions, international commitments have been made to strengthen the quality, relevance, and comprehensiveness of data to ultimately improve data use and data-informed decision making (6).

Similar(58)

The history of hydrobotanical research in the Baltic Sea area dates back centuries, but even now data and comprehensiveness of information about distribution of phytobenthos communities in the area are far from sufficient.

Key limitations include assumptions related to accuracy and comprehensiveness of claims data, and specifically days' supply data used to measure insulin adherence.

Considering the confidence and comprehensiveness of the data, the 'core dataset' of 3020 proteins and the high confidence 889 proteins were pooled together to generate 3269 proteins which was selected as the plasma proteome in this study.

The accuracy and comprehensiveness of the data recorded in the database has been documented previously.

Many countries and international donors have committed to strengthen the quality, relevance, and comprehensiveness of HIS data (3).

During the course of the study, we noted that the availability and comprehensiveness of clinical data varied across the cancer types.

For example, countries such as the United States [ 2] or Australia [ 30] face significant technical and institutional obstacles in introducing family practice indicator based incentives schemes because of the availability and comprehensiveness of clinical data systems.

Strengths of the present study include the large number of participants, making this among one of the largest studies on this issue, in-person interviews conducted by experienced interviewers, the relatively high response rates, and the comprehensiveness of data collection that allowed us to adjust for many potential confounders.

External predictive power could be limited depending on the quality and comprehensiveness of the initial data.

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