Comparing four methods to estimate usual intake distributions
OW Souverein, AL Dekkers, A Geelen… - European journal of …, 2011 - nature.com
OW Souverein, AL Dekkers, A Geelen, J Haubrock, JH De Vries, MC Ocké, U Harttig…
European journal of clinical nutrition, 2011•nature.comResults: Overall, the mean bias of the ISU, NCI, MSM and SPADE Methods was small.
However, for all methods, the mean bias and the variation of the bias increased with smaller
sample size, higher variance ratios and with more pronounced departures from normality.
Serious mean bias (especially in the 95th percentile) was seen using the NCI Method when
r var= 9, λ BC= 0 and n= 1000. The ISU Method and MSM showed a somewhat higher sd of
the bias compared with NCI and SPADE Methods, indicating a larger method uncertainty …
However, for all methods, the mean bias and the variation of the bias increased with smaller
sample size, higher variance ratios and with more pronounced departures from normality.
Serious mean bias (especially in the 95th percentile) was seen using the NCI Method when
r var= 9, λ BC= 0 and n= 1000. The ISU Method and MSM showed a somewhat higher sd of
the bias compared with NCI and SPADE Methods, indicating a larger method uncertainty …
Results:
Overall, the mean bias of the ISU, NCI, MSM and SPADE Methods was small. However, for all methods, the mean bias and the variation of the bias increased with smaller sample size, higher variance ratios and with more pronounced departures from normality. Serious mean bias (especially in the 95th percentile) was seen using the NCI Method when r var= 9, λ BC= 0 and n= 1000. The ISU Method and MSM showed a somewhat higher sd of the bias compared with NCI and SPADE Methods, indicating a larger method uncertainty. Furthermore, whereas the ISU, NCI and SPADE Methods produced unimodal density functions by definition, MSM produced distributions with ‘peaks’, when sample size was small, because of the fact that the population's usual intake distribution was based on estimated individual usual intakes. The application to the EFCOVAL data showed that all estimates of the percentiles and mean were within 5% of each other for the three nutrients analyzed. For vegetables, fruit and fish, the differences were larger than that for nutrients, but overall the sample mean was estimated reasonably.
Conclusions:
The four methods that were compared seem to provide good estimates of the usual intake distribution of nutrients. Nevertheless, care needs to be taken when a nutrient has a high within-person variation or has a highly skewed distribution, and when the sample size is small. As the methods offer different features, practical reasons may exist to prefer one method over the other.
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