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-rw-r--r--issues/effect-size-for-gemma-is-a-must.gmi2
-rw-r--r--pictures/effect-size-for-gemma.pngbin0 -> 387972 bytes
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diff --git a/issues/effect-size-for-gemma-is-a-must.gmi b/issues/effect-size-for-gemma-is-a-must.gmi
index 137e96e..0644b68 100644
--- a/issues/effect-size-for-gemma-is-a-must.gmi
+++ b/issues/effect-size-for-gemma-is-a-must.gmi
@@ -8,3 +8,5 @@ Request Type: New feature for GEMMA, User requires these data
Main Message: Let's Just Do It. Can be done as a kludge. Just plot the beta of the regression equation of the SNP status (ususally two or three states codes as 0, 1, 2 or -1,0, +1) against the phenotype.
The slope is roughly the effect size. This is good enough for most users. The only got-you is slight inflation of due to kinship structure and the Beavis effect when the sample size is low.
QUESTION—can I upload an image from Amelie Baud's talk on effect size?
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diff --git a/pictures/effect-size-for-gemma.png b/pictures/effect-size-for-gemma.png
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