Bioequivalence and Bioavailability Forum

Three-way crossover BABE Studies [Design Issues]

posted by acfalcao – 2007-09-17 00:34 (6059 d 20:02 ago) – Posting: # 1082
Views: 33,817

Dear All

My name is Amilcar Falcão and I am professor at the University of Coimbra, Portugal. I am looking for help regarding the execution and interpretation of three-way cross-over bioequivalence trials (for academic purposes).

I would like to have an example (explicit) where a three-way crossover study is appropriately analysed. Namely, I would like to know what kind of ANOVA should be performed and how the 90%CI should be calculated for the different combinations of study formulations (i.e. A vs B and A vs C). Perhaps this is a naive question, but in fact I am trying to look for it in literature and I have seen different approaches always without the adopted statistical pathway. Therefore, I would like to be sure regarding the correct way to deal with.

I strongly appreciate if you could help me about this matter.

Thank you for your attention.

Best regards;

Amílcar Falcão
Laboratory of Pharmacology
Faculty of Pharmacy
University of Coimbra
Coimbra - Portugal

Complete thread:

• Three-way crossover BABE Studiesacfalcao 2007-09-16 22:34 
  • Three-way crossover example data set Helmut 2007-09-17 20:47
    • Three-way crossover example data set acfalcao 2007-09-17 23:02
      • Three-way crossover example data set Helmut 2007-09-18 12:47
        • Three-way crossover (WinNonlin) Nirali 2007-09-21 06:49
          • Three-way crossover (WinNonlin) Helmut 2007-09-21 13:04
            • Three-way crossover (WinNonlin) Nirali 2007-09-25 08:05
              • Three-way crossover (WinNonlin) Helmut 2007-09-25 13:15
        • Three-way crossover example data set Irene_I 2018-06-07 11:09
          • Three-way crossover example data set Helmut 2018-06-07 13:04
            • Three-way crossover example data set Irene_I 2018-06-08 11:09
            • Three-way crossover example data set Irene_I 2018-06-12 09:21
              • Leave-One-Out (IBD) Helmut 2018-06-12 12:42
                • Leave-One-Out (IBD) Irene_I 2018-06-13 05:02
                  • Impact of pooled variance (bias, CI) Helmut 2018-06-13 15:02
                • carry (over?) d_labes 2018-06-13 15:31
    • Pseudo-periods ElAlumno 2019-03-14 23:40
      • Pseudo-periods Helmut 2019-03-15 00:47
        • Two‐at‐a‐Time analysis in R ElAlumno 2019-03-22 21:59
          • fixed & mixed (dammit!) and a request to SASians Helmut 2019-03-23 01:03
            • Pooled vs IBD T-R in SAS from non-SASian mittyri 2019-03-23 23:13
              • Pooled vs IBD T-R in SAS from non-SASian Helmut 2019-03-23 23:36
            • mixed in R mittyri 2019-03-23 23:50
              • mixed in R (EMA B ≠ FDA) Helmut 2019-03-24 01:23
    • Williams design 3-way Brus 2021-06-09 16:48
      • Williams design 3-way Helmut 2021-06-09 17:48
        • Williams design 3-way Brus 2021-06-10 14:33
          • Williams design 3-way Helmut 2021-06-10 15:03
            • Williams design 3-way vezz 2021-06-10 17:23
              • Williams design 3-way Helmut 2021-06-10 20:14
                • Williams design 3-way vezz 2021-06-11 09:11
                  • Williams design 3-way Brus 2021-06-11 12:19
                  • Williams design 3-way Relaxation 2021-06-11 12:42
                    • Period effects in general Helmut 2021-06-11 15:41
                    • Williams design 3-way vezz 2021-06-11 16:56