Optimal Designs for Regression Models with Forced Measurements at Baseline

Fedorov, V.V.; Leonov, S.

doi:10.1007/978-3-7908-2693-7_7

V.V. Fedorov⁴ &
S. Leonov⁴

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

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Summary

We discuss the construction of D-optimal designs for regression models with forced measurements. Such models may be used in dose response studies where a baseline measurement is taken for all patients, that is forced in the design.

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V.V. Fedorov & S. Leonov

Authors

V.V. Fedorov
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S. Leonov
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Editors and Affiliations

Department of Mathematics and Computer Science, EURANDOM and Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands
Alessandro Di Bucchianico
Institute of Mathematics, University of Potsdam, 14415, Potsdam, Germany
Henning Läuter
London School of Economics, Houghton Street, London, WC2A 2AE, UK
Henry P. Wynn

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Fedorov, V., Leonov, S. (2004). Optimal Designs for Regression Models with Forced Measurements at Baseline. In: Di Bucchianico, A., Läuter, H., Wynn, H.P. (eds) mODa 7 — Advances in Model-Oriented Design and Analysis. Contributions to Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2693-7_7

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DOI: https://doi.org/10.1007/978-3-7908-2693-7_7
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0213-9
Online ISBN: 978-3-7908-2693-7
eBook Packages: Springer Book Archive

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