Document Detail


Multifactor designs able to examine the interactions.
MedLine Citation:
PMID:  23257128     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Multifactor designs that are able to examine the interactions include factorial design, factorial design with a block factor, repeated measurement design; orthogonal design, split-block design, etc. Among all the above design types that are able to examine the interactions, the factorial design is the most commonly used. It is also called the full-factor experimental design, which means that the levels of all the experimental factors involved in the research are completely combined, and k independent repeated experiments are conducted under each experimental condition. The factorial design with a block factor can also examine the influence of a block factor formed by one or more important nonexperimental factors based on the factorial design. This article introduces the factorial design and the factorial design with a block factor by examples.
Authors:
Xiao-Lei Bao; Liang-Ping Hu
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Zhong xi yi jie he xue bao = Journal of Chinese integrative medicine     Volume:  10     ISSN:  1672-1977     ISO Abbreviation:  Zhong Xi Yi Jie He Xue Bao     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2012-12-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101199657     Medline TA:  Zhong Xi Yi Jie He Xue Bao     Country:  China    
Other Details:
Languages:  eng     Pagination:  1371-4     Citation Subset:  IM    
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