Transformed data analysis only (AUC, Cmax) [General Sta­tis­tics]

posted by kevan – 2009-05-26 09:41 (6234 d 19:44 ago) – Posting: # 3755
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Hi HS,

❝ Run any normality test (Shapiro-Wilk, Anderson-Darling,…) on the intra-subject residuals of both the log-transformed and the untransformed data. If you don't have discordant outliers in the data set I bet that both tests will come up with a nonsignificant result.


You means that i need to find each intra-subject residuals to run the normality test?
How can I identify the outlier in the data set which consist the intra-subject residues?

❝ If it is not appropriate to analyse with transformed data, for example, when untransformed data shows normal distribution but transformed data shows non-normal distribution, you may state as such and use untransformed data for the assessment.


Should I mention above statements in the protocol before start the study?
Anyway, the study already finished, what can I do now is to mention this phenomenon in report and conclude the treatments is not bioequivalence?

Thanks very much.


Kevan

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