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Robust assessment of two-treatment higher-order cross-over designs against missing values

Godolphin, P.J.; Godolphin, E.J.

Authors

P.J. Godolphin

E.J. Godolphin



Journal Article Type Article
Publication Date 2019-04
Journal Computational Statistics & Data Analysis
Print ISSN 0167-9473
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 132
Pages 31-45
APA6 Citation Godolphin, P., & Godolphin, E. (2019). Robust assessment of two-treatment higher-order cross-over designs against missing values. Computational Statistics and Data Analysis, 132, 31-45. doi:10.1016/j.csda.2018.06.020
DOI https://doi.org/10.1016/j.csda.2018.06.020
Publisher URL https://www.sciencedirect.com/science/article/pii/S016794731830166X
Additional Information This article is maintained by: Elsevier; Article Title: Robust assessment of two-treatment higher-order cross-over designs against missing values; Journal Title: Computational Statistics & Data Analysis; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.csda.2018.06.020; Content Type: article; Copyright: © 2018 Elsevier B.V. All rights reserved.
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