Total sum of squares¶
Definition
AI-generated
Total squared deviations around the overall mean—numerator of baseline variance before covariates.
Why it matters in GWAS¶
Statistical concepts underpin GWAS significance, effect estimation, relatedness random effects, multiple testing, fine-mapping priors, and post-GWAS multivariate methods.
Example usage¶
"A replication analysis checks whether assumptions tied to Total sum of squares remain stable across cohorts."
Related terms¶
References¶
- Casella G, Berger RL. (2002). Statistical Inference. Duxbury Press.
- Wasserman L. (2004). All of Statistics. Springer.
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