The University of Southampton
University of Southampton Institutional Repository

Assessing the similarity of dose response and target doses in two non-overlapping subgroups

Assessing the similarity of dose response and target doses in two non-overlapping subgroups
Assessing the similarity of dose response and target doses in two non-overlapping subgroups
We consider two problems that are becoming more and more frequent in dose finding studies. First, we assess the similarity of two non-linear regression models for two non-overlapping subgroups of patients over a restricted covariate space. To this end, we derive a confidence interval for the maximum difference between the two given models. If this confidence interval excludes the equivalence margins, similarity of dose response can be claimed.
Second, we address the problem of demonstrating the similarity of two target doses for two non-overlapping subgroups, using again a confidence interval based approach. The proposed methods are illustrated with a real case study and their operating characteristics (coverage probabilities, Type I error rates, power) are investigated via simulation.
0277-6715
Bretz, Frank
aa8a675f-f53f-4c50-8931-8e9b7febd9f0
Mollenhoff, Kathrin
ee54b071-dd85-4ad3-bf1b-6d87e71de945
Dette, Holger
8c7b1c2e-3adc-45df-acfc-9e76509a228e
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a
Trampisch, Matthias
b1aacb10-ddc0-4431-bc8e-47c65e8b39a9
Bretz, Frank
aa8a675f-f53f-4c50-8931-8e9b7febd9f0
Mollenhoff, Kathrin
ee54b071-dd85-4ad3-bf1b-6d87e71de945
Dette, Holger
8c7b1c2e-3adc-45df-acfc-9e76509a228e
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a
Trampisch, Matthias
b1aacb10-ddc0-4431-bc8e-47c65e8b39a9

Bretz, Frank, Mollenhoff, Kathrin, Dette, Holger, Liu, Wei and Trampisch, Matthias (2017) Assessing the similarity of dose response and target doses in two non-overlapping subgroups. Statistics in Medicine. (doi:10.1002/sim.7546).

Record type: Article

Abstract

We consider two problems that are becoming more and more frequent in dose finding studies. First, we assess the similarity of two non-linear regression models for two non-overlapping subgroups of patients over a restricted covariate space. To this end, we derive a confidence interval for the maximum difference between the two given models. If this confidence interval excludes the equivalence margins, similarity of dose response can be claimed.
Second, we address the problem of demonstrating the similarity of two target doses for two non-overlapping subgroups, using again a confidence interval based approach. The proposed methods are illustrated with a real case study and their operating characteristics (coverage probabilities, Type I error rates, power) are investigated via simulation.

Text
draft11 - Accepted Manuscript
Download (556kB)

More information

Accepted/In Press date: 5 October 2017
e-pub ahead of print date: 27 November 2017
Organisations: Statistics

Identifiers

Local EPrints ID: 410688
URI: https://eprints.soton.ac.uk/id/eprint/410688
ISSN: 0277-6715
PURE UUID: 37bb42c5-bd28-481c-87b3-c2b8c49646dc
ORCID for Wei Liu: ORCID iD orcid.org/0000-0002-4719-0345

Catalogue record

Date deposited: 09 Jun 2017 09:22
Last modified: 15 Aug 2019 04:54

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×