Sentence examples for methodological biases of from inspiring English sources

The weaknesses of the PAED include its low sensitivity for hypoactive delirium, variable sensitivity in the two studies (91%and50%0%) [ 9, 11] and the major methodological biases of the favorable study (retrospective methodology and imputed data for >16% of patients).

By quantifying the methodological biases of the experimental data, we can define an information threshold above which networks may be deemed to comprise consistent macroscopic topological properties, despite their small microscopic overlaps.

This could be explained by methodological biases of case-control studies.

Differences likely reflect differing assumptions and methodological biases of the various methods.

However, owing to the limited number of articles and the methodological biases of the heterogeneous literature included in the review, the observed prevalence (e.g., in the Middle East) may not reflect the actual trend in NCD prevalence among urban refugees in developing countries.

This would facilitate the comparisons and the testing of possible confounding factors and methodological biases on the outcome of interventions, and subsequently on the result of meta-analyses.

This is a principle methodological bias of interventions in healthcare research.

While return to fertility is reported by some reviewers to be more rapid with NET-EN [ 9, 10], more recently, Bigrigg et al. [ 11] in examining early data, suggest that there is no delay in return to fertility with DMPA use, if one considers the methodological bias of early studies, which did not take in to account the date of the last DMPA injection.

This article presents two methods – a grading system and a measure of methodological bias – for evaluating the quality of evidence produced by an efficacy study.

We believe that the inclusion in meta-analyses of studies so radically different is a methodological bias: characteristics of patients, doses used and timing of drug administration were discordant enough to make a true meta-analysis impossible.

Outdated but frequently cited in literature introductions, those macro-economic data suffered from numbers of methodological biases and have to be used with caution according to the author of the latter.