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Informative dropout modeling of longitudinal ordered categorical data and model validation: applicat...

Informative dropout modeling of longitudinal ordered categorical data and model validation: applicat...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1758238597

Informative dropout modeling of longitudinal ordered categorical data and model validation: application to exposure–response modeling of physician’s global assessment score for ustekinumab in patients with psoriasis

About this item

Full title

Informative dropout modeling of longitudinal ordered categorical data and model validation: application to exposure–response modeling of physician’s global assessment score for ustekinumab in patients with psoriasis

Publisher

Boston: Springer US

Journal title

Journal of pharmacokinetics and pharmacodynamics, 2011-04, Vol.38 (2), p.237-260

Language

English

Formats

Publication information

Publisher

Boston: Springer US

More information

Scope and Contents

Contents

The physician’s global assessment (PGA) score is a 6-point measure of psoriasis severity that is widely used in clinical trials to assess response to psoriasis treatment. The objective of this study was to perform exposure–response modeling using the PGA score as a pharmacodynamic endpoint following treatment with ustekinumab in patients with moder...

Alternative Titles

Full title

Informative dropout modeling of longitudinal ordered categorical data and model validation: application to exposure–response modeling of physician’s global assessment score for ustekinumab in patients with psoriasis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1758238597

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1758238597

Other Identifiers

ISSN

1567-567X

E-ISSN

1573-8744

DOI

10.1007/s10928-011-9191-7

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