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A note on change point estimation in dose-response trials.

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A note on change point estimation in dose-response trials. / Friede, T.; Miller, F.; Bischoff, W. et al.
In: Computational Statistics and Data Analysis, Vol. 37, No. 2, 2001, p. 219-232.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Friede, T, Miller, F, Bischoff, W & Kieser, M 2001, 'A note on change point estimation in dose-response trials.', Computational Statistics and Data Analysis, vol. 37, no. 2, pp. 219-232. https://doi.org/10.1016/S0167-9473(00)00066-9

APA

Friede, T., Miller, F., Bischoff, W., & Kieser, M. (2001). A note on change point estimation in dose-response trials. Computational Statistics and Data Analysis, 37(2), 219-232. https://doi.org/10.1016/S0167-9473(00)00066-9

Vancouver

Friede T, Miller F, Bischoff W, Kieser M. A note on change point estimation in dose-response trials. Computational Statistics and Data Analysis. 2001;37(2):219-232. doi: 10.1016/S0167-9473(00)00066-9

Author

Friede, T. ; Miller, F. ; Bischoff, W. et al. / A note on change point estimation in dose-response trials. In: Computational Statistics and Data Analysis. 2001 ; Vol. 37, No. 2. pp. 219-232.

Bibtex

@article{a2749f2a7dbe4871a5ca28fb97577630,
title = "A note on change point estimation in dose-response trials.",
abstract = "An often used model for the shape of a drug's dose–response relationship is the following: the curve increases to a certain dose until a plateau is reached. In this situation, the minimum dose with maximum effect can be seen as a change point in a regression model. We present four estimators for the change point and compare their performance with respect to selection rates and loss function based criteria by extensive simulations. The choice of the loss function depending on the practical situation is discussed. Application of the estimators is illustrated by an example.",
keywords = "Change point estimator, Dose–response relationship, Loss function, LINEX loss",
author = "T. Friede and F. Miller and W. Bischoff and M. Kieser",
year = "2001",
doi = "10.1016/S0167-9473(00)00066-9",
language = "English",
volume = "37",
pages = "219--232",
journal = "Computational Statistics and Data Analysis",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - A note on change point estimation in dose-response trials.

AU - Friede, T.

AU - Miller, F.

AU - Bischoff, W.

AU - Kieser, M.

PY - 2001

Y1 - 2001

N2 - An often used model for the shape of a drug's dose–response relationship is the following: the curve increases to a certain dose until a plateau is reached. In this situation, the minimum dose with maximum effect can be seen as a change point in a regression model. We present four estimators for the change point and compare their performance with respect to selection rates and loss function based criteria by extensive simulations. The choice of the loss function depending on the practical situation is discussed. Application of the estimators is illustrated by an example.

AB - An often used model for the shape of a drug's dose–response relationship is the following: the curve increases to a certain dose until a plateau is reached. In this situation, the minimum dose with maximum effect can be seen as a change point in a regression model. We present four estimators for the change point and compare their performance with respect to selection rates and loss function based criteria by extensive simulations. The choice of the loss function depending on the practical situation is discussed. Application of the estimators is illustrated by an example.

KW - Change point estimator

KW - Dose–response relationship

KW - Loss function

KW - LINEX loss

U2 - 10.1016/S0167-9473(00)00066-9

DO - 10.1016/S0167-9473(00)00066-9

M3 - Journal article

VL - 37

SP - 219

EP - 232

JO - Computational Statistics and Data Analysis

JF - Computational Statistics and Data Analysis

IS - 2

ER -