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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.
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].
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.
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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.
Researchers need to evaluate the strengths and weaknesses of data sets to choose a secondary data set to use for a health care study.
Thus, Labor in the New Economy also addresses a host of measurement issues: from the treatment of outliers, imputation methods, and weighting in the context of specific surveys to evaluating the strengths and weaknesses of data from different sources.
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.
The main weakness of the data was that all the data were based on self-report.
The need for reliable extraneous data is the main weakness of consultation data, especially in heterogeneous environments.
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