Mirko Ruks
@mirkomincho.bsky.social
Postdoc Bielefeld University
Social Inequality - Sociogenomics - Statistics
Social Inequality - Sociogenomics - Statistics
ok i have a question.
in a linear regression model with measurement error in X, I can derive the bias with covariance algebra:
beta_obs = beta_true * V(X_true) / V(X_true) + V(X_error)
That's clear but I'm struggling with deriving the bias from the DAG.
in a linear regression model with measurement error in X, I can derive the bias with covariance algebra:
beta_obs = beta_true * V(X_true) / V(X_true) + V(X_error)
That's clear but I'm struggling with deriving the bias from the DAG.
November 7, 2025 at 2:28 PM
ok i have a question.
in a linear regression model with measurement error in X, I can derive the bias with covariance algebra:
beta_obs = beta_true * V(X_true) / V(X_true) + V(X_error)
That's clear but I'm struggling with deriving the bias from the DAG.
in a linear regression model with measurement error in X, I can derive the bias with covariance algebra:
beta_obs = beta_true * V(X_true) / V(X_true) + V(X_error)
That's clear but I'm struggling with deriving the bias from the DAG.