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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."

References

  • Casella G, Berger RL. (2002). Statistical Inference. Duxbury Press.
  • Wasserman L. (2004). All of Statistics. Springer.

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