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Interval estimation of the 90% effective dose: A comparison of bootstrap resampling methods with some large-sample approaches

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  • Yangxin Huang Simon
  • P. J. Kirby Peter
  • Harris John
  • C. Dearden

Abstract

A number of recent studies have looked at the coverage probabilities of various common parametric methods of interval estimation of the median effective dose (ED 50 ) for a logistic dose-response curve. There has been comparatively little work done on more extreme effective doses. In this paper, the interval estimation of the 90% effective dose (ED 90 ) will be of principal interest. We provide a comparison of four parametric methods of interval construction with four methods based on bootstrap resampling.

Suggested Citation

  • Yangxin Huang Simon & P. J. Kirby Peter & Harris John & C. Dearden, 2000. "Interval estimation of the 90% effective dose: A comparison of bootstrap resampling methods with some large-sample approaches," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(1), pages 63-73.
    • Handle: RePEc:taf:japsta:v:27:y:2000:i:1:p:63-73
    DOI: 10.1080/02664760021835
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    Cited by:

    1. Yangxin Huang, 2002. "Robustness of interval estimation of the 90% effective dose: Bootstrap resampling and some large-sample parametric methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(7), pages 1071-1081.

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