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Comparison of Seven Non-Linear Mixed Effect Model-Based Approaches to Test for Treatment Effect

Comparison of Seven Non-Linear Mixed Effect Model-Based Approaches to Test for Treatment Effect

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_401da06695ce4fe29d0b7dcf5a35ac26

Comparison of Seven Non-Linear Mixed Effect Model-Based Approaches to Test for Treatment Effect

About this item

Full title

Comparison of Seven Non-Linear Mixed Effect Model-Based Approaches to Test for Treatment Effect

Publisher

Switzerland: MDPI AG

Journal title

Pharmaceutics, 2023-01, Vol.15 (2), p.460

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Analyses of longitudinal data with non-linear mixed-effects models (NLMEM) are typically associated with high power, but sometimes at the cost of inflated type I error. Approaches to overcome this problem were published recently, such as model-averaging across drug models (MAD), individual model-averaging (IMA), and combined Likelihood Ratio Test (...

Alternative Titles

Full title

Comparison of Seven Non-Linear Mixed Effect Model-Based Approaches to Test for Treatment Effect

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_401da06695ce4fe29d0b7dcf5a35ac26

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_401da06695ce4fe29d0b7dcf5a35ac26

Other Identifiers

ISSN

1999-4923

E-ISSN

1999-4923

DOI

10.3390/pharmaceutics15020460

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