- On 21 May 2006 at 14:52:59, "anisha mendonza" (amendonza.-at-.gmail.com) sent the message

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Hello,

I am trying to test the bias and precision of an equation.

I would like to know the relevance of Mean Square Error and the Root

Mean Square Error.

Questions I have are

1) Is there a limit (like 15% or 20% for example) that can be

applied to these values?

2) Which error (Mean square error or the root mean square error)

should be reported in a publication?

Relevant and important insight is requested

Thank you

Anisha Mendonza

PhD candidate

University of Rhode Island - On 22 May 2006 at 14:47:53, "Hans Proost" (j.h.proost.-at-.rug.nl) sent the message

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The following message was posted to: PharmPK

Dear Anisha,

In reply to your questions:

1) There is no 'general limit' applicable to MSE and RMSE. These

measures of

precision (or better: imprecision) should of course be as low as

possible.

For some applications, e.g. predictability of drug response, 15% or

20% may

be acceptable, but this is arbitrary.

2) RMSE expressed as a percentage of the 'true value' or 'observed

value' is

generally most imformative and therefore preferred for publication. MSE

cannot be expressed as a percentage, and its value is not easily

interpreted.

Please note that the measure of bias is Mean Error (ME). This value,

also

expressed as a percentage, may be reported together with RMSE.

Best regards,

Hans Proost

Johannes H. Proost

Dept. of Pharmacokinetics and Drug Delivery

University Centre for Pharmacy

Antonius Deusinglaan 1

9713 AV Groningen, The Netherlands

tel. 31-50 363 3292

fax 31-50 363 3247

Email: j.h.proost.at.rug.nl

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