Log in to save to my catalogue

Predictive performance for population models using stochastic differential equations applied on data...

Predictive performance for population models using stochastic differential equations applied on data...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_733711223

Predictive performance for population models using stochastic differential equations applied on data from an oral glucose tolerance test

About this item

Full title

Predictive performance for population models using stochastic differential equations applied on data from an oral glucose tolerance test

Publisher

Boston: Springer US

Journal title

Journal of pharmacokinetics and pharmacodynamics, 2010-02, Vol.37 (1), p.85-98

Language

English

Formats

Publication information

Publisher

Boston: Springer US

More information

Scope and Contents

Contents

Several articles have investigated stochastic differential equations (SDEs) in PK/PD models, but few have quantitatively investigated the benefits to predictive performance of models based on real data. Estimation of first phase insulin secretion which reflects beta-cell function using models of the OGTT is a difficult problem in need of further in...

Alternative Titles

Full title

Predictive performance for population models using stochastic differential equations applied on data from an oral glucose tolerance test

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_733711223

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_733711223

Other Identifiers

ISSN

1567-567X

E-ISSN

1573-8744

DOI

10.1007/s10928-009-9145-5

How to access this item