144 related articles for article (PubMed ID: 29107004)
1. Extending existing structural identifiability analysis methods to mixed-effects models.
Janzén DLI; Jirstrand M; Chappell MJ; Evans ND
Math Biosci; 2018 Jan; 295():1-10. PubMed ID: 29107004
[TBL] [Abstract][Full Text] [Related]
2. Three novel approaches to structural identifiability analysis in mixed-effects models.
Janzén DLI; Jirstrand M; Chappell MJ; Evans ND
Comput Methods Programs Biomed; 2019 Apr; 171():141-152. PubMed ID: 27181677
[TBL] [Abstract][Full Text] [Related]
3. Differential algebra methods for the study of the structural identifiability of rational function state-space models in the biosciences.
Margaria G; Riccomagno E; Chappell MJ; Wynn HP
Math Biosci; 2001 Nov; 174(1):1-26. PubMed ID: 11595254
[TBL] [Abstract][Full Text] [Related]
4. Review: To be or not to be an identifiable model. Is this a relevant question in animal science modelling?
Muñoz-Tamayo R; Puillet L; Daniel JB; Sauvant D; Martin O; Taghipoor M; Blavy P
Animal; 2018 Apr; 12(4):701-712. PubMed ID: 29096725
[TBL] [Abstract][Full Text] [Related]
5. DAISY: a new software tool to test global identifiability of biological and physiological systems.
Bellu G; Saccomani MP; Audoly S; D'Angiò L
Comput Methods Programs Biomed; 2007 Oct; 88(1):52-61. PubMed ID: 17707944
[TBL] [Abstract][Full Text] [Related]
6. Robust global identifiability theory using potentials--Application to compartmental models.
Wongvanich N; Hann CE; Sirisena HR
Math Biosci; 2015 Apr; 262():182-97. PubMed ID: 25660327
[TBL] [Abstract][Full Text] [Related]
7. Global identifiability of linear compartmental models--a computer algebra algorithm.
Audoly S; D'Angiò L; Saccomani MP; Cobelli C
IEEE Trans Biomed Eng; 1998 Jan; 45(1):36-47. PubMed ID: 9444838
[TBL] [Abstract][Full Text] [Related]
8. Structural identifiability and sensitivity.
Iliadis A
J Pharmacokinet Pharmacodyn; 2019 Apr; 46(2):127-135. PubMed ID: 30895420
[TBL] [Abstract][Full Text] [Related]
9. Similarity transformation approach to identifiability analysis of nonlinear compartmental models.
Vajda S; Godfrey KR; Rabitz H
Math Biosci; 1989 Apr; 93(2):217-48. PubMed ID: 2520030
[TBL] [Abstract][Full Text] [Related]
10. Structural identifiability for a class of non-linear compartmental systems using linear/non-linear splitting and symbolic computation.
Chapman MJ; Godfrey KR; Chappell MJ; Evans ND
Math Biosci; 2003 May; 183(1):1-14. PubMed ID: 12604132
[TBL] [Abstract][Full Text] [Related]
11. Determining the parametric structure of models.
Cole DJ; Morgan BJ; Titterington DM
Math Biosci; 2010 Nov; 228(1):16-30. PubMed ID: 20800072
[TBL] [Abstract][Full Text] [Related]
12. Identifiability of large-scale non-linear dynamic network models applied to the ADM1-case study.
Nimmegeers P; Lauwers J; Telen D; Logist F; Impe JV
Math Biosci; 2017 Jun; 288():21-34. PubMed ID: 28237667
[TBL] [Abstract][Full Text] [Related]
13. A simple method for identifying parameter correlations in partially observed linear dynamic models.
Li P; Vu QD
BMC Syst Biol; 2015 Dec; 9():92. PubMed ID: 26666642
[TBL] [Abstract][Full Text] [Related]
14. Deterministic identifiability of population pharmacokinetic and pharmacokinetic-pharmacodynamic models.
Siripuram VK; Wright DFB; Barclay ML; Duffull SB
J Pharmacokinet Pharmacodyn; 2017 Oct; 44(5):415-423. PubMed ID: 28612141
[TBL] [Abstract][Full Text] [Related]
15. Structural identifiability of cyclic graphical models of biological networks with latent variables.
Wang Y; Lu N; Miao H
BMC Syst Biol; 2016 Jun; 10(1):41. PubMed ID: 27296452
[TBL] [Abstract][Full Text] [Related]
16. Finding identifiable parameter combinations in nonlinear ODE models and the rational reparameterization of their input-output equations.
Meshkat N; Anderson C; Distefano JJ
Math Biosci; 2011 Sep; 233(1):19-31. PubMed ID: 21763702
[TBL] [Abstract][Full Text] [Related]
17. Structural identifiability analysis of epidemic models based on differential equations: a tutorial-based primer.
Chowell G; Dahal S; Liyanage YR; Tariq A; Tuncer N
J Math Biol; 2023 Nov; 87(6):79. PubMed ID: 37921877
[TBL] [Abstract][Full Text] [Related]
18. The input-output relationship approach to structural identifiability analysis.
Bearup DJ; Evans ND; Chappell MJ
Comput Methods Programs Biomed; 2013 Feb; 109(2):171-81. PubMed ID: 23228562
[TBL] [Abstract][Full Text] [Related]
19. Identifiability Results for Several Classes of Linear Compartment Models.
Meshkat N; Sullivant S; Eisenberg M
Bull Math Biol; 2015 Aug; 77(8):1620-51. PubMed ID: 26337290
[TBL] [Abstract][Full Text] [Related]
20. Examples of testing global identifiability of biological and biomedical models with the DAISY software.
Saccomani MP; Audoly S; Bellu G; D'Angiò L
Comput Biol Med; 2010 Apr; 40(4):402-7. PubMed ID: 20185123
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
