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Comparison of the ISU, NCI, MSM, and SPADE Methods for Estimating Usual Intake: A Simulation Study of Nutrients Consumed Daily
- Source :
- Nutrients; Volume 8; Issue 3; Pages: 166, Nutrients, Vol 8, Iss 3, p 166 (2016), Nutrients
- Publication Year :
- 2016
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2016.
-
Abstract
- Various methods are available for estimating usual dietary intake distributions. Hence, there is a need for simulation studies to compare them. The methods Iowa State University (ISU), National Cancer Institute (NCI), Multiple Source Method (MSM) and Statistical Program to Assess Dietary Exposure (SPADE) were previously compared in another study, but some results were inconclusive due to the small number of replications used in the simulation. Seeking to overcome this limitation, the present study used 1000 simulated samples for 12 different scenarios to compare the accuracy of estimates yielded by the aforementioned methods. The focus is on scenarios that exhibited the most uncertainty in the conclusions of the mentioned study above, i.e., scenarios with small sample sizes, skewed intake distributions, and large ratios of the between- and within-person variances. Bias was used as a measure of accuracy. For scenarios with small sample sizes (n = 150), the ISU, MSM and SPADE methods generally achieved more accurate estimates than the NCI method, particularly for the 10th and 90th percentiles. The differences between methods became smaller with larger sample sizes (n = 300 and n = 500). With few exceptions, the methods were found to perform similarly.
- Subjects :
- 0301 basic medicine
Percentile
Nutritional Status
030209 endocrinology & metabolism
lcsh:TX341-641
Recommended Dietary Allowances
daily-consumed nutrients distribution
Article
03 medical and health sciences
0302 clinical medicine
Nutrient
Statistics
Humans
Computer Simulation
MSM
Least-Squares Analysis
comparison
ISU
NCI
SPADE
Mathematics
Models, Statistical
030109 nutrition & dietetics
Nutrition and Dietetics
Dietary exposure
Dietary intake
Small number
Linear model
Reproducibility of Results
Small sample
Diet
Nutrition Assessment
Sample size determination
Linear Models
lcsh:Nutrition. Foods and food supply
Food Science
Subjects
Details
- Language :
- English
- ISSN :
- 20726643
- Database :
- OpenAIRE
- Journal :
- Nutrients; Volume 8; Issue 3; Pages: 166
- Accession number :
- edsair.doi.dedup.....b747d6b0ec68ed44d2667752aaaa5fa8
- Full Text :
- https://doi.org/10.3390/nu8030166