Dose-response models with covariates

M. C. Wijesinha, S. Piantadosi

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


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
Issue number3
StatePublished - 1995

All Science Journal Classification (ASJC) codes

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


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