1990
DOI: 10.1016/0898-1221(90)90321-a
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A new method to discriminate between enzyme-kinetic models

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Cited by 12 publications
(5 citation statements)
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“…Comparison of the results obtained by Equation 1 and 2 by the F-test on chi-square indicated that the additional term added to the Equation 1 significantly improved the fits [Cook and Weisberg, 1990; Buckwitz and HolzHütter, 1990] except for three mutants (p.Thr553Asn, p.Ala557, and p.Ser572Trp) discussed below.…”
Section: Patients Materials and Methodsmentioning
confidence: 99%
“…Comparison of the results obtained by Equation 1 and 2 by the F-test on chi-square indicated that the additional term added to the Equation 1 significantly improved the fits [Cook and Weisberg, 1990; Buckwitz and HolzHütter, 1990] except for three mutants (p.Thr553Asn, p.Ala557, and p.Ser572Trp) discussed below.…”
Section: Patients Materials and Methodsmentioning
confidence: 99%
“…However, we wanted to determine which of the considered models is actually preferable. To that end, we applied three different types of information criteria for model selection, known as the Akaike (AIC), Bayesian (BIC), and Hannan-Quinn (HQIC) criteria (46)(47)(48). These criteria take into account the number of parameters as well as the obtained c 2 o .…”
Section: Model Validation By Least-squares Fittingmentioning
confidence: 99%
“…In addition, we used Zwanzig's model-selection criterion (47,49). This criterion provides a quantitative comparison of fits by two models and determines which of the two models is preferable, or that there is no statistically significant difference in fits by the two models.…”
Section: Model Validation By Least-squares Fittingmentioning
confidence: 99%
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“…The best model is expected to have the largest MSC and lowest BIC and HQIC values. On the basis of the MSC, BIC, and HQIC values for the different models reported in Table 3A, the best model would have to be model K. We note, however, that the values for model K are not very far from those of the other models, except models A and B, prompting us to include Zwanzig's statistical selection criterion (38,39) (see the Supporting Information for details) in our model search. Zwanzig's statistical selection criterion allows direct comparison of two models, u and V. Accordingly, if T uv > 1.96, model V is more appropriate than model u (with a significance level R ) 0.05), and if |T uv | e 1.96, both models are equally appropriate.…”
Section: Biphasicmentioning
confidence: 99%