Confidence interval procedures for the probability of disease transmission in multiple-vector-transfer designs

Joshua M. Tebbs, Christopher R. Bilder

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

In plant pathology, group testing has been widely used in vector-transfer designs to study factors affecting the spread of disease by insect vectors. In such contexts, vectors are tested in groups rather than individually. However, the goal is still to estimate p, the probability of disease transmission by a single vector. The purpose of this article is to provide a thorough comparison of new and established interval estimators for p in terms of coverage probability and mean length. We illustrate our methods using data from an Argentinean study involving the Mal Rio Cuarto virus and its transmission by the Delphacodes kuscheli planthopper.

Original languageEnglish (US)
Pages (from-to)75-90
Number of pages16
JournalJournal of Agricultural, Biological, and Environmental Statistics
Volume9
Issue number1
DOIs
StatePublished - Mar 1 2004

Fingerprint

disease transmission
confidence interval
Confidence interval
Delphacodes
Plant Pathology
Insect Vectors
Confidence Intervals
Disease Vectors
Fulgoroidea
insect vectors
plant pathology
Viruses
planthopper
Group Testing
viruses
Coverage Probability
Pathology
pathology
Virus
virus

Keywords

  • Binomial distribution
  • Composite sampling
  • Group testing
  • Insect vectors
  • Plant disease
  • Proportion

ASJC Scopus subject areas

  • Statistics and Probability
  • Agricultural and Biological Sciences (miscellaneous)
  • Environmental Science(all)
  • Agricultural and Biological Sciences(all)
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

Cite this

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