biocore / biocore/evident

sample sizes

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Python
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Description

Hello,

I read on https://forum.qiime2.org/t/evident-effect-size-and-power-calculations-for-microbiome-community-data/23146/8

"The power analysis assumes that a new experimental design will have equal number of samples from each of the groups."

Regarding the quote above, does that mean that the power analysis results reflect the power of an experimental design with equal sample size per group (eg group A n=10, group B, n=10, group C n=10)? If we input data into Evident from an experiment with unequal sample sizes (eg group A n=2, group B, n=5, group C n=10), would the Evident output reflect the power based on the sample sizes of the data that was input?

thank you for your time.

Contributor guide

No contributing guide indexed for this repository

Research direction

No files, tests, or entry points are mentioned. First determine where Evident documents or implements power-analysis sample-size assumptions, then confirm the behavior for equal and unequal groups with the maintainers. Done means the expected behavior is answered and documented in the appropriate project documentation.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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