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Variability Attribu...
Variability Attribution for Automated Model Building
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- Ibrahim, Moustafa M. A. (author)
- Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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- Nordgren, Rikard (author)
- Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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- Kjellsson, Maria C., docent, 1975- (author)
- Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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- Karlsson, Mats O. (author)
- Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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(creator_code:org_t)
- 2019-03-08
- 2019
- English.
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In: AAPS Journal. - : Springer Science and Business Media LLC. - 1550-7416. ; 21:3
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Abstract
Subject headings
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- We investigated the possible advantages of using linearization to evaluate models of residual unexplained variability (RUV) for automated model building in a similar fashion to the recently developed method “residual modeling.” Residual modeling, although fast and easy to automate, cannot identify the impact of implementing the needed RUV model on the imprecision of the rest of model parameters. We used six RUV models to be tested with 12 real data examples. Each example was first linearized; then, we assessed the agreement in improvement of fit between the base model and its extended models for linearization and conventional analysis, in comparison to residual modeling performance. Afterward, we compared the estimates of parameters’ variabilities and their uncertainties obtained by linearization to conventional analysis. Linearization accurately identified and quantified the nature and magnitude of RUV model misspecification similar to residual modeling. In addition, linearization identified the direction of change and quantified the magnitude of this change in variability parameters and their uncertainties. This method is implemented in the software package PsN for automated model building/evaluation with continuous data.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Farmaceutiska vetenskaper (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Pharmaceutical Sciences (hsv//eng)
Keyword
- automated model building
- linearization
- model evaluation
- nonlinear mixed effects models
- stochastic model
Publication and Content Type
- ref (subject category)
- art (subject category)
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