An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach-Reference-Cited by-同舟云学术

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

Published:2010-06-07 Issue:1 Volume:10 Page:
ISSN:1471-2210
Container-title:BMC Pharmacology
language:en
Short-container-title:BMC Pharmacol

Author:

Spiess Andrej-Nikolai,Neumeyer Natalie

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Pharmacology

Link

http://link.springer.com/content/pdf/10.1186/1471-2210-10-6.pdf

Reference22 articles.

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3. Miaou SP, Lu A, Lum HS: Pitfalls of using r-squared to evaluate goodness of fit of accident prediction models. Transportation Research Record #1542. 1996, 6-13. 10.3141/1542-02.

4. Willet JB, Singer JD: Another cautionary note about R-square: Its use in weighted least-squares regression analysis. Amer Stat. 1988, 42: 236-238. 10.2307/2685031.

5. Anderson-Sprecher R: Model comparisons and R-square. Amer Stat. 1994, 48: 113-117. 10.2307/2684259.

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