Replicate Designs for Average Bioequivalence [Design Issues]
Dear joyjac!
Whereas the standard 2×2×2 cross-over design (two treatments, two sequences, two periods) gives us the inter-subject- (between subjects) and intra-subject- (within subjects) variability, replicate designs (or sometimes called 'higher-order' or 'optimal' cross-over designs ) give us the additional information on the variability of treatments.
The most simple form is the two-sequence dual (two sequence, two treatment, three period) design
A more sophisticiated design is the two-sequence, four-period design
Designs
Pros:
regards
Hermann Rotter
Edit: Link corrected for FDA’s new site. [Helmut]
Whereas the standard 2×2×2 cross-over design (two treatments, two sequences, two periods) gives us the inter-subject- (between subjects) and intra-subject- (within subjects) variability, replicate designs (or sometimes called 'higher-order' or 'optimal' cross-over designs ) give us the additional information on the variability of treatments.
The most simple form is the two-sequence dual (two sequence, two treatment, three period) design
[1] (sometimes called 'extra-reference' design):S1: T R R
S2: R T RA more sophisticiated design is the two-sequence, four-period design
[2]:S1: T R R T
S2: R T T RDesigns
[1] and [2] are given in FDA's guidance; others (e.g. Balaam's design and the four-sequence, four-period design) are discussed in the literature, but to my knowledge rarely used.Pros:
- desirable statistical properties (i.e. allow for the estimation of treatment variability)
- reference-scaled average BE may protects against a unreasonable high sample size in 2×2×2 based on a 'bad' reference product; recommended for highly variable drugs (CV>30%) in various guidelines (e.g. ANVISA)
- it may give protection against outliers based on product failure (distinguishes from subject-by-formulation interaction)
- errors in the randomization procedure are more likely
- additional periods are time-consuming
- there is a higher chance of drop-outs
- the number of blood-samples per subject may be rather high
[1]).regards
Hermann Rotter
Edit: Link corrected for FDA’s new site. [Helmut]
Complete thread:
- Replicate Designs for Average Bioequivalence joyjac 2006-01-27 00:58
- Replicate Designs for Average BioequivalenceH_Rotter 2006-01-27 12:15
- Replicate Designs joyjac 2006-01-31 06:41
- Replicate Design/Scaled ABE approach joyjac 2006-08-23 09:47
- Replicate Design/Scaled ABE approach H_Rotter 2006-08-23 12:09
- Replicate Designs for Average BioequivalenceH_Rotter 2006-01-27 12:15
