Andrew Gelman, a professor in the Departments of Statistics and Political
Science at Columbia University, has a blog on research in statistical
modeling and applications entitled "Statistical Modeling, Causal Inference,
and Social Science" at http://www.stat.columbia.edu/~gelman/blog/
A few of the recent entries include:
January 25, 2005
-Why I don't use the term "fixed and random effects"
January 20, 2005
-Brouhaha about multilevel models
Are multilevel (hierarchical) models the coolest thing in the
world or just a fancy way to fool yourself? Jan de Leeuw
(statistics, UCLA) thinks both!
Scott
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