论文信息 - Robust Estimates of the ED50

Robust Estimates of the ED50

Abstract To explore the possibility that robust estimators of location can be adapted to the problem of estimating the ED50 in binary-response bioassay, 10 estimators are compared. A Monte Carlo study is conducted to determine the mean squared errors (MSE) of the estimators. Taking into account the MSE for a variety of symmetric tolerance distributions, the sensitivity of the estimator to an anomalous response, and the possibility that the estimator is incalculable, the trimmed Spearman-Karber estimator is especially reliable. Adjusting the response proportions before calculating the ED50 significantly reduces the MSE of the minimum logit chi-squared estimator.

Martin A. Hamilton | M. Hamilton

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