Provider: Ingenta Connect Database: Ingenta Connect Content: application/x-research-info-systems TY - ABST AU - Jonkman, Jeffrey AU - Sidik, Kurex TI - Equivalence Testing for Parallelism in the Four-Parameter Logistic Model JO - Journal of Biopharmaceutical Statistics PY - 2009-09-01T00:00:00/// VL - 19 IS - 5 SP - 818 EP - 837 KW - Intersection-union test KW - Dose-response curve KW - Parallel assay KW - Calibration KW - Nonlinear model KW - Dilutional similarity N2 - For assay or dose-response data in drug discovery, it is often important to test for parallelism of the response curves for two preparations, such as a test drug and a standard drug, in order to determine the potency of the test preparation relative to the standard preparation. A typical approach is to perform a three-degree of freedom approximate F test of the null hypothesis that the relevant parameters are equal for the two preparations. We argue that this problem may be more appropriately viewed as a practical equivalence testing problem, and present an alternative method for testing parallelism in the four-parameter logistic response curve, based on the theory of intersection-union tests. The approach is intuitively appealing and simple to implement using commonly available software, and may provide more appropriate inference for the problem of interest. Two examples are discussed to illustrate the testing approach outlined in this article, and to compare it with the typical approach to testing parallelism. A simulation study is also presented to compare the empirical properties of the two different testing approaches for a set of cases based approximately on one of the examples. UR - https://www.ingentaconnect.com/content/tandf/lbps/2009/00000019/00000005/art00006 M3 - doi:10.1080/10543400903105299 UR - https://doi.org/10.1080/10543400903105299 ER -