A Robust Design of a Screen for a Binary Response
Copyright policy )A Robust Design of a Screen for a Binary Response
Summary: Optimal screening procedures are derived using Bayesian decision theory. A simple heuristic solution is determined using an asymptotic posterior distribution for the parameters in a linear probit model. The solution is shown to be optimal within a class of possible procedures and robust to departures from model assumptions.
- University of Newcastle Australia Australia
- Newcastle University United Kingdom
robustness, asymptotic posterior distribution, Applications of statistics to biology and medical sciences; meta analysis, Optimal screening procedures, optimality, optimal screening procedures, Bayesian problems; characterization of Bayes procedures, linear probit model, heuristic solution
robustness, asymptotic posterior distribution, Applications of statistics to biology and medical sciences; meta analysis, Optimal screening procedures, optimality, optimal screening procedures, Bayesian problems; characterization of Bayes procedures, linear probit model, heuristic solution
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