A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models.

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Bibliographic Details
Title: A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models.
Authors: Cassidy T; University of Leeds, Leeds, United Kingdom. t.cassidy1@leeds.ac.uk., Johnston ST; University of Melbourne, Melbourne, Australia., Plank M; University of Canterbury, Christchurch, New Zealand., Botha I; University of Melbourne, Melbourne, Australia., Flegg JA; University of Melbourne, Melbourne, Australia., Murphy RJ; UniSA STEM, The University of South Australia, Mawson Lakes, South Australia, 5095, Australia., Hamis S; Uppsala University, Uppsala, Sweden.
Source: Bulletin of mathematical biology [Bull Math Biol] 2026 Jan 14; Vol. 88 (2), pp. 19. Date of Electronic Publication: 2026 Jan 14.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 0401404 Publication Model: Electronic Cited Medium: Internet ISSN: 1522-9602 (Electronic) Linking ISSN: 00928240 NLM ISO Abbreviation: Bull Math Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1522-9602
DOI:10.1007/s11538-025-01583-2