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Journal of Chinese Integrative Medicine ›› 2012, Vol. 10 ›› Issue (12): 1371-1374.doi: 10.3736/jcim20121206

• Methodology • Previous Articles     Next Articles

Multifactor designs able to examine the interactions

Xiao-lei Bao, Liang-ping Hu()   

  1. Consulting Center of Biomedical Statistics, Academy of Military Medical Sciences, Beijing 100850, China
  • Received:2012-10-20 Accepted:2012-10-23 Online:2012-12-20 Published:2018-10-15

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.

Key words: statistics, medical, research design, factor analysis, statistical

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UVA Concentration of PSO (μg/mL)
0 10 20 40 80
No 10.60±0.31 18.90±0.06 25.64±0.23 26.19±1.21 26.94±0.26
Yes 28.53±0.05 29.17±0.38 32.56±0.04 33.39±0.11 37.72±0.09

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Block
number
Average weight increase (×500 g)
A1B1 A1B2 A2B1 A2B2
1 1.38 1.52 1.22 1.11
2 1.09 1.48 0.87 1.03
3 1.08 1.45 1.13 0.97
4 1.09 1.22 1.00 0.97
5 1.40 1.27 1.34 1.09
6 1.47 1.53 1.16 0.99
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