Sentence examples for difference in the representativeness from inspiring English sources

That all the approached doctors were GPs in France who were asked participate but could refuse to do so, as opposed to being volunteers who spontaneously proposed their participation, probably explains that difference in the representativeness of the sample questioned.

Moreover, there were also differences in the representativeness of the general population in the single studies: studies from Scandinavia [ 7, 10, 12] represented their respective general populations well, while the level of representativeness of the other studies is less clear.

Differences in candidemia rates between countries may also be attributable to differences in the representativeness of the study population, the prevalence of HIV infection in the study population, and variations in patterns of healthcare delivery and clinical practices, including the frequency of using blood cultures in diagnostics.

Nevertheless, it is difficult to directly compare the data from these studies since there were differences in the inclusion criteria, the representativeness of the samples and the resistance algorithms used for interpretation.

Without dramatic improvements in the representativeness of government in both Congo and Rwanda, this week's peace accord will be another victim of this hideous conflict.

One limitation of this study lies in the representativeness of the sample.

These changes in the representativeness of landline-based samples will result in substantial non-response bias in survey estimates if there are significant behavioural differences between those that are accessible via landline telephone and that are not.

These comparisons strengthen our confidence in the representativeness of the sample that was studied.

Some of the difference can be explained by environmental differences between subregions and others might relate to differences in sample representativeness between subregions.

To account for differences in missingness, representativeness and measurement methods and to incorporate and quantify uncertainty, we specified a Bayesian hierarchical model (using the DisMod-MR model developed as part the Global Burden of Disease Project) to estimate the mean sodium intake across the world by sex, age and country for two calendar years 1990 and 2010.

Differences in representativeness should be taken into account when transferring study findings to patient populations in routine care.