Sex-by-treatment interaction [Design Issues]
Hi BEQool,
If you replace gender by sex, yes. Muse about it.
BTW, you could even drop sequence from the model…
See p. 1731, right column, top. That’s the model proposed by the FDA earlier:*Y|sequence,sex,sequence×sex,|subject(sequence×sex),period,|treatment,sex×treatment I employed it also in my meta-analysis. The ‘purpose’ of this model is only to assess the interaction. Since treatment appears twice in the model, it is not possible to get an unbiased estimate of it (for a similar story see this article).
In simple words? I’ll try. For a given subject anything which remains constant throughout a study leads to a between-subject factor (e.g., sex, sequence, stage, group, site). Everything else leads to a within-subject factor (e.g., treatment, period).
❝ […] is Gender*Treatment also a between-subject factor (like Sequence and Gender here)?
If you replace gender by sex, yes. Muse about it.

❝ In the article Evaluation of sex-by-formulation interaction in bioequivalence studies of efavirenz tablets by González-Rojano et al. it doesnt say anything about which factor they used (within- or between-subject) to test Gender*Treatment interaction.
See p. 1731, right column, top. That’s the model proposed by the FDA earlier:*Y|sequence,sex,sequence×sex,|subject(sequence×sex),period,|treatment,sex×treatment I employed it also in my meta-analysis. The ‘purpose’ of this model is only to assess the interaction. Since treatment appears twice in the model, it is not possible to get an unbiased estimate of it (for a similar story see this article).
❝ Additionally, how do you know which factor is a within-subject and which is a between-subject? If anyone has an explanation in simple words
In simple words? I’ll try. For a given subject anything which remains constant throughout a study leads to a between-subject factor (e.g., sex, sequence, stage, group, site). Everything else leads to a within-subject factor (e.g., treatment, period).
- Chen M-L, Lee S-C, Ng M-J, Schuirmann DJ, Lesko LJ, Williams RL. Pharmacokinetic analysis of bioequivalence trials: Implications for sex-related issues in clinical pharmacology and biopharmaceutics. Clin Pharm Ther. 2000; 68(5): 510–21. doi:10.1067/mcp.2000.111184
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Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
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The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- Inclusion criteria in BE studies Loky do 2020-05-22 18:16 [Design Issues]
- BE: ♀♂ Helmut 2020-05-23 17:12
- Inclusion criteria in BE studies jag009 2020-05-25 07:43
- Stratify for sex? Helmut 2020-05-25 12:48
- Stratify for sex? jag009 2020-05-25 21:10
- Stratify for sex? Helmut 2020-05-25 12:48
- Inclusion criteria in BE studies ElMaestro 2020-05-25 14:39
- Inclusion criteria in BE studies Loky do 2020-06-10 13:19
- Inclusion criteria in BE studies BEQool 2023-05-05 10:42
- Sex-by-treatment interactionHelmut 2023-05-05 12:44
- Sex-by-treatment interaction BEQool 2023-05-11 09:12
- Sex-by-treatment interactionHelmut 2023-05-05 12:44