Designs for testing lack of fit for a nonlinear dose-response curve model.

Abstract:

:We would like to estimate the parameters of a dose-response function with the greatest precision as possible. For a two-parameter model, this is equivalent to minimizing the area of the confidence ellipsoid, i.e., a D-optimal design. Previous work on this particular model has included minimal designs. These designs are unable to determine lack of fit. We introduce a distinct dose level to the design to be able to estimate the lack of fit. The minimal and new designs will be compared, and the sample size needed to achieve adequate power for the lack-of-fit test will be derived.

journal_name

J Biopharm Stat

authors

Lupinacci PJ,Raghavarao D

doi

10.1081/BIP-100101012

keywords:

subject

Has Abstract

pub_date

2000-02-01 00:00:00

pages

45-53

issue

1

eissn

1054-3406

issn

1520-5711

journal_volume

10

pub_type

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