Estimation and use of Kinetic Parameter Distributions in Metabolism and Nutrition

Beltz, William F.

doi:10.1016/s1043-4526(08)60034-0

Cited by 1 publication

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding the numerical identifiability of the kinetic parameter estimates, Table 3 shows that there are six parameters that have at least one estimate with an FSD Ͼ0.5. Only two parameters, k (5,4) and k (10,9), exhibit poor estimate precision in Ն50% of cases. It is noteworthy that among the four small intestine parameters, 58% of the estimates based on 68 Zn tracer data had FSDs Ͼ0.5 but only 15% of the estimates from 67 Zn tracer data had high FSDs.…”

Section: Resultsmentioning

confidence: 99%

“…Because the standard errors of the population parameter estimates reflect both the uncertainties of the individual estimates as well as the intersubject variability of the estimates, their interpretation as regards numerical identifiability is not straightforward. Furthermore, little formal work has been done regarding identifiability of population parameter data (5). Because the practical utility of the population model is dependent, in part, on the precision of the model parameters, it is encouraging that the fractional standard error values are generally Ͻ25%, especially given the heterogeneity and small size of the current population.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Development of a compartmental model of human zinc metabolism: identifiability and multiple studies analyses

Miller

Krebs

Hambidge

2000

American Journal of Physiology-Regulatory, Integrative and Comp

View full text Add to dashboard Cite

A compartmental model of zinc metabolism has been developed from stable isotope tracer studies of five healthy adults. Multiple isotope tracers were administered orally and intravenously, and the resulting enrichment was measured in plasma, erythrocytes, urine, and feces for as long as 3 wk. Data from total zinc measurements and model-independent calculations of various steady-state parameters were also modeled with the kinetic data. A structure comprised of 14 compartments and as many as 25 unknown kinetic parameters was developed to adequately model the data from each of the individual studies. The structural identifiability of the model was established using the GLOBI2 identifiability analysis software. Numerical identifiability of parameter estimates was evaluated using statistical data provided by SAAM. A majority of the model parameters was estimated with sufficient statistical certainty to be considered well determined. After the fitting of the model and data from the individual studies using SAAM/CONSAM, results were submitted to SAAM extended multiple studies analysis for aggregation into a single set of population parameters and statistics. The model was judged to be valid based on criteria described elsewhere.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%