Sentence examples for weaknesses of data from inspiring English sources

A number of other weaknesses of data should be mentioned: Data are of varying quality and the attempts we made in order to compensate for this may have led to exclusion of good data.

We propose that rather than dismissing out of hand research efforts using online job advertisement and other types of web-based data due to weaknesses of data representativeness, a debate should be launched on how these weaknesses can be compensated for and for which types of research questions and fields they might be of a smaller concern.

The research coordinator, one co-investigator, two medical officers and an international research fellow made regular visits to each field team where they directly observed the interviewing techniques, checked completed questionnaires, and in order to improve the quality of data collection, provided immediate feedback on strengths and weaknesses of data collections to the data collectors.

Two important scientists such as Jes Olesen and Peer Tfelt-Hansen have recently lodged a complaint regarding the hypothetical weakness of data presented to the Medicines and Healthcare Products Regulatory Agency for the extension of BOTOX® registration also for chronic migraine (CM) in UK [1].

These inconsistencies were apparently owing to poor quality of methodology, weakness of data, high levels of heterogeneity and publication bias.

Weakness of data from developing countries is a limitation of this framework which draws on existing datasets, which we addressed by drawing on the knowledge of key informants experienced in the country health research systems to interpret the data.

Hence, the most commonly utilised data are from surveys, which form the main source for estimates of perinatal mortality in developing countries such as Indonesia, given the absence or weakness of data from routine sources [ 7].

This allowed us to contextualise data, direct data collection, and highlight strengths and weaknesses of the data sources.

AN INSIGHTFUL new paper reads in part:One of the major weaknesses of observational data is the possibility of bias, including selection bias and reporting bias, which can be obviated largely by using randomised controlled trials.

We also reflect objectively on the strengths and weaknesses of the data set.

There are, however, several weaknesses of our data indicating that validation of the model is necessary.