Regression splines for threshold selection with application to a random-effects logistic dose-response model

Chin-Shang Li, Daniel Hunt

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

A flexible parametric method is proposed for smoothing the dose effect in a general, threshold dose-response model with random effects. This method uses a combination of linear B-splines in which an interior knot, regarded as a free parameter for a piece-wise linear spline, indicates a break point in the dose-response curve. The knot will be estimated and may be interpreted as a threshold value. The proposed methodology is applied to data from a developmental toxicity study conducted by the National Toxicology Program.

Original languageEnglish (US)
Pages (from-to)1-9
Number of pages9
JournalComputational Statistics and Data Analysis
Volume46
Issue number1
DOIs
StatePublished - May 28 2004
Externally publishedYes

Keywords

  • B-splines
  • Dose-response
  • Random effects
  • Threshold

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Statistics, Probability and Uncertainty
  • Electrical and Electronic Engineering
  • Computational Mathematics
  • Numerical Analysis
  • Statistics and Probability

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