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close this book Food Composition Data: A User's Perspective (1987)
close this folder Other considerations
close this folder Consideration of food composition variability: What is the variance of the estimate of one-day intakes? Implications for setting priorities
View the document (introductory text)
View the document Introduction
View the document Magnitude of the reported variability of composition
View the document Impact of composition variation on a one-day food intake
View the document Additional impact of a random error in intake estimation
View the document Some implications for data analyses
View the document Validation of food intake data: implications of food composition variation
View the document Systematic errors in food composition data
View the document Relevance to priorities for food composition data
View the document Conclusions
View the document References

Conclusions

Conclusions

If we are to address priorities for improvement of food composition data bases through increased numbers of analyses of food samples, the foregoing may be taken as an example of the merit of the following recommendation: Before major investment in food composition analyses is undertaken, either to increase the number of replicate analyses or to refine the specification of foods few which analyses are presented, it is recommended that the anticipated uses of food composition data be defined and "sensitivity analyses" be undertaken to examine the cost-effectiveness of such investment. From such sensitivity analyses a ranking of relative priorities, based on cost effectiveness considerations, should be developed.