No random effects in ANOVA [General Statistics]
Hi Abhimanyu,
Simple:
Seriously:
Some statisticians (including ones of the FDA, Health Canada, China’s CDE, and myself) think that (b) is the correct way. Others (of the EMA, …) prefer (a). If the study is balanced and complete (i.e., no missing periods) the outcome is identical.
❝ Generally we mention this sentence in Bio-equivalence protocol "ANOVA model will include Sequence, Formulation and Period as fixed effects and Subject (Sequence) as a random effect. Sequence effect will be tested using Subject (Sequence) as error term."
❝
❝ Why we take "Subject (Sequence) as a random effect??"
Simple:
Because you copypasted this part from one protocol to the other and it is also mentioned in most (all?) guidelines.
Seriously:
- There are no random effects in ANOVA. In SAS-lingo: When you use
PROC GLM
and have aRANDOM
statement it just changes how residual errors are used in calculating the F-value.
If you want to have subjects as a true random effect (i.e., required by the FDA and Health Canada) you have to usePROC MIXED
instead.
- The nested structure subject(sequence) leads to an over-specificed model, contradics the law of parsimony, and is just silly.
- Such a nesting is superfluous, since in BE subjects are uniquely coded. If, say, subject 1 is allocated to a given sequence there is not yet ‘another’ subject 1 allocated to another sequence. Randomization is not like Schrödinger’s cat. Hence, the nested term in the guidelines is an insult to the mind. This explains the many lines in
PROC GML
given with ‘.
’ and in Phoenix WinNonlin as ‘not estimable
’.
- The simple model sequence, subject, period, treatment gives identical (‼) estimates of the residual variance and the treatment effect and hence, its confidence interval.
- If you specify subjects as a fixed effect in the model, you make a statement about the subjects in the study.
- If you specify them as a random effect, you make a statement about the population of other subjects.
Some statisticians (including ones of the FDA, Health Canada, China’s CDE, and myself) think that (b) is the correct way. Others (of the EMA, …) prefer (a). If the study is balanced and complete (i.e., no missing periods) the outcome is identical.
—
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Helmut Schütz
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Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- ANOVA MODEL abhimanyu 2020-02-04 05:31 [General Statistics]
- No random effects in ANOVAHelmut 2020-02-04 11:33
- No random effects in ANOVA abhimanyu 2020-02-05 12:47
- No random effects in ANOVAHelmut 2020-02-04 11:33