Exposing the confounding in experimental designs to understand and evaluate them, and formulating linear mixed models for analyzing the data from a designed experiment

DOI10.1002/BIMJ.202200284zbMATH Open1541.62292MaRDI QIDQ6572290

Renata Alcarde Sermarini, Christopher James Brien, Clarice G. B. Demétrio

Publication date: 15 July 2024

Published in: Biometrical Journal (Search for Journal in Brave)

zbMATH Keywords

confoundinglinear mixed modelrepeated-measurements experimentsfactor allocationblock-treatment interaction

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• The analysis of randomized experiments with orthogonal block structure. I. Block structure and the null analysis of variance

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