A statistical bias in the derivation of hardness‐dependent metals criteria | Zendy

Newman Michael C. | Zendy

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A statistical bias in the derivation of hardness‐dependent metals criteria

Author(s) -

Newman Michael C.

Publication year - 1991

Publication title -

environmental toxicology and chemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.1

H-Index - 171

eISSN - 1552-8618

pISSN - 0730-7268

DOI - 10.1002/etc.5620101008

Subject(s) - statistics , regression , least squares function approximation , data set , set (abstract data type) , econometrics , mathematics , regression analysis , computer science , estimator , programming language

Log‐transformed values of lethal effect and hardness are often employed to predict metal effects. For example, they are used to develop water quality criteria. A statistical bias encountered with backtransformed, least‐squares regression models can compromise the accuracy of associated predictions. A description and method of estimating this bias are discussed herein. In a selected data set, the bias was as high as 57%.

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