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-rw-r--r-- | issues/effect-size-for-gemma-is-a-must.gmi | 2 | ||||
-rw-r--r-- | pictures/effect-size-for-gemma.png | bin | 0 -> 387972 bytes |
2 files changed, 2 insertions, 0 deletions
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? + +=> /pictures/effect-size-for-gemma.png diff --git a/pictures/effect-size-for-gemma.png b/pictures/effect-size-for-gemma.png Binary files differnew file mode 100644 index 0000000..48fb87b --- /dev/null +++ b/pictures/effect-size-for-gemma.png |