Furthermore, the impact of the tolerances in the final outcome is not measured, which may generate misleading results.
Therefore, the development of a tool that can map disease-specific measures onto preference-based measures may also generate weighted utilities.
The research clinic measures of blood pressure may generate different effect sizes compared to ambulatory, home or medical clinic measures.
The disadvantage is that we may generate measurement errors in the exogenised income measure to the extent that the part-time employed are misrepresented.
For example, easily visible measures, such as thermal scanning machines, may generate a sense of confidence or reassurance that disease will be detected and prevented from entering the country.
Moreover, comparing in another situation instrumental accuracy by measuring a certain standard several times with two gages may generate random samples having the same known mean and unknown variances which one might be interested then to compare with each other.
It follows then that using these same measures to assess 'carer's service needs may generate misleading outcomes.
Composite measures may be generated from a single data collection method (e.g., responses to a series of self-reported adherence questions) or from different data collection methods (e.g., a biomarker, product count, and a self-reported measure).
Conducted studies demonstrate the RDQ questionnaire is a reliable and sensitive measure to evaluate the disability which LBP may generate, namely the limitations in daily tasks which it may entail.
Due to the exacerbated "curse of dimensionality" [ 6], i.e., the number of measures is greatly larger than the number of patients, direct concatenation may generate worse results.
