Chunk #33 — Results — Application in Observed Data

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Principal Component Analysis Reduces Collider Bias in Polygenic Score Effect Size Estimation.

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The following section presents results from application of PCA as a correction for collider bias in the COGA sample, examining tobacco use (TOB) and educational attainment (EDU) as the two heritable collider variables. Descriptive statistics for the analytic sample are reported in Table I.