(5421 d 20:42 ago)
Posting: # 2144
When we used Lund's outlier test?
I heard it is used to detect outlier in PK parameter.
my question is,
For every data, after calculating PK parameter is it mandetory to run Lund's test or there is any rules?
please let me know.
(5421 d 20:06 ago)
Posting: # 2147
Lund's outlier test is used to detect outliers in Pharmacokinetic parameters.
❝ For every data, after calculating PK parameter is it mandetory to run Lund's test or there is any rules?
It is not mandatory, if you want to detect any outliers from the PK data you have to use this test. Rules means after calculating the residuals you have to see the tabulated value and see whether any outlier is present or not.
May be this helps.
(5419 d 15:06 ago)
Posting: # 2158
❝ Lund's outlier test is used to detect outliers in Pharmacokinetic parameters.
❝ if you want to detect any outliers from the PK data you have to use this test.
I don't have much knowledge about Lund's outlier test. Could you Please explain it in detail and if possible please suggest some reference.
Please also mention the software on which this test can be performed with some example.
Thanks and Regards
Thanks & Regards
(5419 d 12:09 ago)
Posting: # 2159
❝ I don't have much knowledge about Lund's outlier test. Could you Please explain it in detail and if possible please suggest some reference.
This test was stated in a guideline issued by the FDA in 1992 (Section V. Outlier Consideration), and dropped in later editions. The original reference is:
Lund RE. Tables for An Approximate Test for Outliers in Linear Models. Technometrics. 1975; 17(4), 473–76.
❝ Please also mention the software on which this test can be performed with some example.
As a starter you need to calculate studentized intra-subject residuals. WinNonlin and Kinetica cannot,
But I would not suggest it anyhow.
Quoting Chow and Liu (2000, pp 501–2) from their critical discussion of FDA’s guideline:
“The guidance provides a pharmacokinetic definition of subject outliers and provides possible causes for their occurrence. The guidance suggests that Lund's method (Lund, 1975) be used for oulier detection. Although Lund’s method is useful in a linear regression setting that requires statistical independence of all PK responses, this method may not be appropriate for a crossover design in which the PK responses from the same subject are correlated. Although Lund's method may be applied to the difference of the PK responses between the test and the reference formulations from the same subject in a standard two-sequence, two-period crossover design, it dose not not take into account the feature of the study design. Moreover, it does not not eliminate other nuisance effects; hence, it cannot be applied to other crossover designs.”
A remark: Chow and Liu are right in their statement of missing independence of observations; on the other hand it does not make sense to apply any outlier test on the raw T/R ratios, but only to the residual errors of the statistical model.
Useful exploratory analyses are box-plots, QQ-plots, Hotelling’s T2, or Cook’s distance.
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(5404 d 20:30 ago)
Posting: # 2225
How to calculate Lunds outlier manually? which statistic should we use. please explain? i want basic knowledge about it?
thanks in advance.