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An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach.

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An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach. / Spiess, Andrej-Nikolai; Neumeyer, Natalie.

In: BMC PHARMACOL TOXICO, Vol. 10, 2010, p. 6.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Spiess, A-N & Neumeyer, N 2010, 'An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach.', BMC PHARMACOL TOXICO, vol. 10, pp. 6. <http://www.ncbi.nlm.nih.gov/pubmed/20529254?dopt=Citation>

APA

Spiess, A-N., & Neumeyer, N. (2010). An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach. BMC PHARMACOL TOXICO, 10, 6. http://www.ncbi.nlm.nih.gov/pubmed/20529254?dopt=Citation

Vancouver

Spiess A-N, Neumeyer N. An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach. BMC PHARMACOL TOXICO. 2010;10:6.

Bibtex

@article{54ae726ff5de4045b9ab373477216850,
title = "An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach.",
abstract = "It is long known within the mathematical literature that the coefficient of determination R(2) is an inadequate measure for the goodness of fit in nonlinear models. Nevertheless, it is still frequently used within pharmacological and biochemical literature for the analysis and interpretation of nonlinear fitting to data.",
keywords = "Data Interpretation, Statistical, Computer Simulation, Models, Statistical, *Biochemistry, Biomedical Research/*statistics & numerical data, *Monte Carlo Method, *Nonlinear Dynamics, *Pharmacology, Data Interpretation, Statistical, Computer Simulation, Models, Statistical, *Biochemistry, Biomedical Research/*statistics & numerical data, *Monte Carlo Method, *Nonlinear Dynamics, *Pharmacology",
author = "Andrej-Nikolai Spiess and Natalie Neumeyer",
year = "2010",
language = "English",
volume = "10",
pages = "6",
journal = "BMC PHARMACOL TOXICO",
issn = "2050-6511",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach.

AU - Spiess, Andrej-Nikolai

AU - Neumeyer, Natalie

PY - 2010

Y1 - 2010

N2 - It is long known within the mathematical literature that the coefficient of determination R(2) is an inadequate measure for the goodness of fit in nonlinear models. Nevertheless, it is still frequently used within pharmacological and biochemical literature for the analysis and interpretation of nonlinear fitting to data.

AB - It is long known within the mathematical literature that the coefficient of determination R(2) is an inadequate measure for the goodness of fit in nonlinear models. Nevertheless, it is still frequently used within pharmacological and biochemical literature for the analysis and interpretation of nonlinear fitting to data.

KW - Data Interpretation, Statistical

KW - Computer Simulation

KW - Models, Statistical

KW - Biochemistry

KW - Biomedical Research/statistics & numerical data

KW - Monte Carlo Method

KW - Nonlinear Dynamics

KW - Pharmacology

KW - Data Interpretation, Statistical

KW - Computer Simulation

KW - Models, Statistical

KW - Biochemistry

KW - Biomedical Research/statistics & numerical data

KW - Monte Carlo Method

KW - Nonlinear Dynamics

KW - Pharmacology

M3 - SCORING: Journal article

VL - 10

SP - 6

JO - BMC PHARMACOL TOXICO

JF - BMC PHARMACOL TOXICO

SN - 2050-6511

ER -