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Of note however, as the authors pointed out [ 5], matching for age and gender was poor in the studies examined, eligibility status and measurement error assessment were infrequent, although technique was generally well-reported.
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The consequences of an incorrect measurement error variance assessment can be assessed by running a series of models, each altering one fixed error variance to first "half" and then "double" the original fixed value.
There is no good reason to shade one's measurement error variance assessment to be artificially small.
Overall, measurement error in assessment of dietary cadmium would be nondifferential in this prospective cohort study and could have introduced substantial bias toward a finding of no association (Freedman et al. 2011; Kipnis et al. 2003).
Measurement error in assessment of alcoholic beverage intake could attenuate or de-attenuate the association, but the consistent significant inverse associations by different study design, specific types of alcoholic beverage, and gender may not support the possibility that measurement error fully explained our findings in this meta-analysis.
Non-differential measurement error in assessment of the dietary exposures could have led to a bias toward the null, although prior publications from this population reported positive associations for specific meats and fats, and inverse associations for fruit and vegetable intake, consistent with other cohort and case control studies [ 11, 20, 41].
Third, measurement error in assessments of rice consumption is inevitable, and we have incomplete knowledge of the extent to which such error may bias our results.
Both the measurement error variance assessments and the model's latent structure should reflect any methodological concerns with the indicators, including methodological mess-ups.
This observed difference in effect may suggest inaccuracies in the measured dietary values, perhaps owing to measurement errors in assessment of intake, errors in food composition tables or the lack of information on intake from dietary supplements.
48 Measurement error in dietary assessment is a persistent problem when assessing associations between diet and diseases.
Second, although our dietary assessment method is validated (Tjonneland et al, 1991, 1992; Haraldsdottir et al, 1994), some measurement error in the assessment of the dietary intake is inevitable.
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