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An Introduction to Latent Variable Models Karen Bandeen-Roche ABACUS Seminar Series November 28, 2007 Objectives For you to leave here What is a Latent Variable ? What are some common Latent Variable Models ? What is the role of assumptions in Latent Variable Models ? Why should I consider using or decide against using Latent Variable Models ? Ordinary Linear Regression Residual as Latent Variable X . . . . . . . . . . . . . . Y . Y X Mixed effect / Multi-level Models Random effects as Latent Variables time vital non-vital . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0 0 + 1 0 2 2 + 3 Mixed effect / Multi-level Models Random effects as Latent Variables b0i = random intercept b2i = random slope (could define more) Population heterogeneity captured by spread in intercepts, slopes time vital non-vital . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0 0 + 1 0 2 2 + 3 + b0i slope: - |b2i| Mixed effect / Multi-level Models Random effects as Latent Variables time vital non-vital.

An Introduction to Latent Variable Models Karen Bandeen-Roche ABACUS Seminar Series November 28, 2007

  Talent, Variable, Latent variable

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