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A matlab framework for estimation of NLME models using stochastic differential equations: Applicatio...

A matlab framework for estimation of NLME models using stochastic differential equations: Applicatio...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_68309010

A matlab framework for estimation of NLME models using stochastic differential equations: Applications for estimation of insulin secretion rates

About this item

Full title

A matlab framework for estimation of NLME models using stochastic differential equations: Applications for estimation of insulin secretion rates

Publisher

United States: Springer Nature B.V

Journal title

Journal of pharmacokinetics and pharmacodynamics, 2007-10, Vol.34 (5), p.623-642

Language

English

Formats

Publication information

Publisher

United States: Springer Nature B.V

More information

Scope and Contents

Contents

The non-linear mixed-effects model based on stochastic differential equations (SDEs) provides an attractive residual error model, that is able to handle serially correlated residuals typically arising from structural mis-specification of the true underlying model. The use of SDEs also opens up for new tools for model development and easily allows f...

Alternative Titles

Full title

A matlab framework for estimation of NLME models using stochastic differential equations: Applications for estimation of insulin secretion rates

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_68309010

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_68309010

Other Identifiers

ISSN

1567-567X

E-ISSN

1573-8744

DOI

10.1007/s10928-007-9062-4

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