Bioequivalence and Bioavailability Forum

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

posted by kevan – 2009-05-26 09:41 (6231 d 15:45 ago) – Posting: # 3755
Views: 8,354

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

Complete thread:

Transformed and Non-transformed data kevan 2009-05-25 16:33
- Transformed data analysis only (AUC, Cmax) Helmut 2009-05-25 17:01
  - Transformed data analysis only (AUC, Cmax)kevan 2009-05-26 07:41
    - Transformed data analysis only (AUC, Cmax) Helmut 2009-05-26 12:29
      - Transformed data analysis only (AUC, Cmax) ElMaestro 2009-05-26 14:07
        
        Transformed data analysis only (AUC, Cmax) Helmut 2009-05-26 14:23
      - Transformed data analysis only (AUC, Cmax) Ohlbe 2009-05-26 14:24
        
        Assumptions are not justifiable Helmut 2009-05-26 15:41
        
        Assumptions are not justifiable Ohlbe 2009-05-26 18:42
        
        Assumptions are not justifiable Helmut 2009-05-26 18:46

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

Complete thread:

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