Dose-response models with covariates

M. C. Wijesinha, S. Piantadosi

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Two approaches are presented to incorporate covariate effects into dose- response models. The first approach postulates a parametric form for the dose-response function with the resulting parameters then assumed to depend on the covariates. The second approach is semi-parametric: it assumes that the logit ratio (the difference between the logit of success rate at the covariate level and that of the baseline level) can be expressed as a regression model in the covariate effects and the dose level. We present results of a simulation study which compares the efficiency of the two approaches.

Original languageEnglish (US)
Pages (from-to)977-987
Number of pages11
JournalBiometrics
Volume51
Issue number3
DOIs
StatePublished - Oct 12 1995

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

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