Estimating the parameters of the operational model of pharmacological agonism
(2006) In Statistics in Medicine 25(17). p.2932-2945- Abstract
- The aim of this work is practical. We show that the parameters of the widely used operational model of pharmacological agonism are difficult to estimate from single dose-response curves. The parameters can be estimated using pairs of dose-response curves (usually treatment and control) sharing some parameters. Confidence bands for the estimators are developed. In the case of multiple dose-response curve pairs one can employ a non-linear mixed effects model to allow for inter-individual variation. The point estimates and the confidence intervals thus obtained are similar to the more naive construction based on mean and standard errors of parameter estimates. To test for difference of certain parameters between treatment and control we... (More)
- The aim of this work is practical. We show that the parameters of the widely used operational model of pharmacological agonism are difficult to estimate from single dose-response curves. The parameters can be estimated using pairs of dose-response curves (usually treatment and control) sharing some parameters. Confidence bands for the estimators are developed. In the case of multiple dose-response curve pairs one can employ a non-linear mixed effects model to allow for inter-individual variation. The point estimates and the confidence intervals thus obtained are similar to the more naive construction based on mean and standard errors of parameter estimates. To test for difference of certain parameters between treatment and control we employ a permutation test and Wald's test. Copyright (c) 2005 John Wiley & Sons, Ltd. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/394942
- author
- Frigyesi, Attila LU and Hössjer, Ola LU
- organization
- publishing date
- 2006
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- confidence interval, of pharmacological agonism, operational model, dose-response curves, concentration-response curves, mixed effects
- in
- Statistics in Medicine
- volume
- 25
- issue
- 17
- pages
- 2932 - 2945
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- wos:000240047100005
- scopus:33747616407
- pmid:16287202
- ISSN
- 1097-0258
- DOI
- 10.1002/sim.2448
- language
- English
- LU publication?
- yes
- id
- 7a824f06-2dc8-47e1-9425-c3cc150f9d84 (old id 394942)
- date added to LUP
- 2016-04-01 15:29:56
- date last changed
- 2022-01-28 05:38:10
@article{7a824f06-2dc8-47e1-9425-c3cc150f9d84,
abstract = {{The aim of this work is practical. We show that the parameters of the widely used operational model of pharmacological agonism are difficult to estimate from single dose-response curves. The parameters can be estimated using pairs of dose-response curves (usually treatment and control) sharing some parameters. Confidence bands for the estimators are developed. In the case of multiple dose-response curve pairs one can employ a non-linear mixed effects model to allow for inter-individual variation. The point estimates and the confidence intervals thus obtained are similar to the more naive construction based on mean and standard errors of parameter estimates. To test for difference of certain parameters between treatment and control we employ a permutation test and Wald's test. Copyright (c) 2005 John Wiley & Sons, Ltd.}},
author = {{Frigyesi, Attila and Hössjer, Ola}},
issn = {{1097-0258}},
keywords = {{confidence interval; of pharmacological agonism; operational model; dose-response curves; concentration-response curves; mixed effects}},
language = {{eng}},
number = {{17}},
pages = {{2932--2945}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Statistics in Medicine}},
title = {{Estimating the parameters of the operational model of pharmacological agonism}},
url = {{http://dx.doi.org/10.1002/sim.2448}},
doi = {{10.1002/sim.2448}},
volume = {{25}},
year = {{2006}},
}