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, Jahrgang 10, 2010, S. 6.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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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 -