From additivity to synergism: a modelling perspectice

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

From additivity to synergism : a modelling perspectice. / Ritz, Christian; Streibig, Jens Carl.

In: Synergy, Vol. 1, No. 1, 2014, p. 22-29.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Ritz, C & Streibig, JC 2014, 'From additivity to synergism: a modelling perspectice', Synergy, vol. 1, no. 1, pp. 22-29. https://doi.org/10.1016/j.synres.2014.07.010

APA

Ritz, C., & Streibig, J. C. (2014). From additivity to synergism: a modelling perspectice. Synergy, 1(1), 22-29. https://doi.org/10.1016/j.synres.2014.07.010

Vancouver

Ritz C, Streibig JC. From additivity to synergism: a modelling perspectice. Synergy. 2014;1(1):22-29. https://doi.org/10.1016/j.synres.2014.07.010

Author

Ritz, Christian ; Streibig, Jens Carl. / From additivity to synergism : a modelling perspectice. In: Synergy. 2014 ; Vol. 1, No. 1. pp. 22-29.

Bibtex

@article{3b46200503d446bb9fa678b83690d3a4,
title = "From additivity to synergism: a modelling perspectice",
abstract = "Interest in synergistic or antagonistic effects through mixture experiments has grown immensely over the past two decades, not the least within in pharmacology and toxicology. Several definitions of reference models exist; one commonly used reference model is concentration or dose addition, which assumes compounds, when administrated simultaneously, do not interfere with each other at the site of action. We focus on statistical modelling that allows evaluation of dose addition. We will describe several statistical approaches that are suitable for analysis mixture data where synergistic or antagonistic effects may be present. The statistical models are defined and explained and some of the approaches exemplified. Code in open-source software is provided.",
author = "Christian Ritz and Streibig, {Jens Carl}",
year = "2014",
doi = "10.1016/j.synres.2014.07.010",
language = "English",
volume = "1",
pages = "22--29",
journal = "Synergy",
issn = "0838-0368",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - From additivity to synergism

T2 - a modelling perspectice

AU - Ritz, Christian

AU - Streibig, Jens Carl

PY - 2014

Y1 - 2014

N2 - Interest in synergistic or antagonistic effects through mixture experiments has grown immensely over the past two decades, not the least within in pharmacology and toxicology. Several definitions of reference models exist; one commonly used reference model is concentration or dose addition, which assumes compounds, when administrated simultaneously, do not interfere with each other at the site of action. We focus on statistical modelling that allows evaluation of dose addition. We will describe several statistical approaches that are suitable for analysis mixture data where synergistic or antagonistic effects may be present. The statistical models are defined and explained and some of the approaches exemplified. Code in open-source software is provided.

AB - Interest in synergistic or antagonistic effects through mixture experiments has grown immensely over the past two decades, not the least within in pharmacology and toxicology. Several definitions of reference models exist; one commonly used reference model is concentration or dose addition, which assumes compounds, when administrated simultaneously, do not interfere with each other at the site of action. We focus on statistical modelling that allows evaluation of dose addition. We will describe several statistical approaches that are suitable for analysis mixture data where synergistic or antagonistic effects may be present. The statistical models are defined and explained and some of the approaches exemplified. Code in open-source software is provided.

U2 - 10.1016/j.synres.2014.07.010

DO - 10.1016/j.synres.2014.07.010

M3 - Journal article

VL - 1

SP - 22

EP - 29

JO - Synergy

JF - Synergy

SN - 0838-0368

IS - 1

ER -

ID: 130248221