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A multistate modeling and simulation framework to learn dose–response of oncology drugs: Application...

A multistate modeling and simulation framework to learn dose–response of oncology drugs: Application...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_322e099d40994f65bb0bf7249c3dc71a

A multistate modeling and simulation framework to learn dose–response of oncology drugs: Application to bintrafusp alfa in non‐small cell lung cancer

About this item

Full title

A multistate modeling and simulation framework to learn dose–response of oncology drugs: Application to bintrafusp alfa in non‐small cell lung cancer

Publisher

United States: John Wiley & Sons, Inc

Journal title

CPT: Pharmacometrics & Systems Pharmacology, 2023-11, Vol.12 (11), p.1738-1750

Language

English

Formats

Publication information

Publisher

United States: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

The dose/exposure‐efficacy analyses are often conducted separately for oncology end points like best overall response, progression‐free survival (PFS) and overall survival (OS). Multistate models offer to bridge these dose‐end point relationships by describing transitions and transition times from enrollment to response, progression, and death, and...

Alternative Titles

Full title

A multistate modeling and simulation framework to learn dose–response of oncology drugs: Application to bintrafusp alfa in non‐small cell lung cancer

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_322e099d40994f65bb0bf7249c3dc71a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_322e099d40994f65bb0bf7249c3dc71a

Other Identifiers

ISSN

2163-8306

E-ISSN

2163-8306

DOI

10.1002/psp4.12976

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