Joshua Tebbs
Department of Statistics
University of South Carolina
Asymptotically Optimal Tests for Stratified Group-Testing Data
Insect-vectored plant diseases impact the agricultural community each year
by affecting the economic value, the quantity, and the quality of crops.
Controlling the spread of disease is an important area in risk assessment
and understanding the dynamics of vector populations helps researchers to
develop effective treatments. In this talk, we consider an experimental
design commonly used by researchers who study plant disease and present
large sample likelihood-based hypothesis tests which can be used to
characterize disease-transmission behavior in a stratified population.
Small-sample size and power results along with design considerations are
provided. We illustrate our testing procedures using two real data examples.
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