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Simple incorporation of interactions into additive models.

Authors
  • Coull, B A
  • Ruppert, D
  • Wand, M P
Type
Published Article
Journal
Biometrics
Publication Date
Jun 01, 2001
Volume
57
Issue
2
Pages
539–545
Identifiers
PMID: 11414581
Source
Medline
License
Unknown

Abstract

Often, the functional form of covariate effects in an additive model varies across groups defined by levels of a categorical variable. This structure represents a factor-by-curve interaction. This article presents penalized spline models that incorporate factor-by-curve interactions into additive models. A mixed model formulation for penalized splines allows for straightforward model fitting and smoothing parameter selection. We illustrate the proposed model by applying it to pollen ragweed data in which seasonal trends vary by year.

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