Sentence examples for availability and comparability of data from inspiring English sources
Further insights into the effects of this intervention in surgical patients may come from individual patient data meta-analyses, acknowledging the challenges of ensuring availability and comparability of data among trials and obtaining expert statistical support.
The current study was based on the population-based data from the Taiwan cancer registry (TCR) and aimed to broaden the availability and comparability of data and characterization of BC incidence in all age groups.
With availability and comparability of data up to standard in the future, inclusion of indicators such as HbA1c testing and control into selected OECD health care quality indicators for reporting would enhance understanding of variation in health system performance across countries and point to ways for improvement.
Improved coordination of data-gathering activities could act as a catalyst for improving the availability, quality and comparability of data for monitoring and reporting HRH initiatives.
Further study is needed of how methodological artifacts (e.g., study area size, availability, and comparability of GIS data, or monitoring methods), interpretability of covariates, and differences in pollution source or dispersion characteristics contribute to poor transferability.
Therefore, the judgment of the statistical staff is crucial to retain the accuracy and comparability of data.
Major efforts were carried out to achieve high quality and comparability of data.
16 Another issue could be inadequate accuracy and comparability of data.
A single laboratory conducted the metabolic studies, assuring continuity of methods and comparability of data during this interval.
At country level, the ICF is used to facilitate the harmonization and comparability of data sets (e.g. Australian Health Data Dictionary) [ 11].
Despite the differences in data availability and comparability of effect modifiers in Europe and North America, it is possible to consolidate an ongoing collection of time-series data into a single data set so that similar analyses can be carried out periodically in the future.
