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Identifying alert concentrations using a model‐based bootstrap approach

Kathrin Möllenhoff, Kirsten Schorning and Franziska Kappenberg

Biometrics, 2023, vol. 79, issue 3, 2076-2088

Abstract: The determination of alert concentrations, where a pre‐specified threshold of the response variable is exceeded, is an important goal of concentration–response studies. The traditional approach is based on investigating the measured concentrations and attaining statistical significance of the alert concentration by using a multiple t‐test procedure. In this paper, we propose a new model‐based method to identify alert concentrations, based on fitting a concentration–response curve and constructing a simultaneous confidence band for the difference of the response of a concentration compared to the control. In order to obtain these confidence bands, we use a bootstrap approach which can be applied to any functional form of the concentration–response curve. This particularly offers the possibility to investigate also those situations where the concentration–response relationship is not monotone and, moreover, to detect alerts at concentrations which were not measured during the study, providing a highly flexible framework for the problem at hand.

Date: 2023
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