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Journal of Chinese Integrative Medicine ›› 2012, Vol. 10 ›› Issue (10): 1088-1091.doi: 10.3736/jcim20121004

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Three-factor designs unable to examine the interactions (Part 1)

Liang-ping Hu(), Xiao-lei Bao#br#   

  1. Consulting Center of Biomedical Statistics, Academy of Military Medical Sciences, Beijing 100850, China
  • Received:2012-08-25 Accepted:2012-08-31 Online:2012-10-20 Published:2018-10-15
  • Contact: Liang-ping Hu

Three-factor designs that are unable to examine the interactions include crossover design and Latin square design, which can examine three factors, namely, an experimental factor and two block factors. Although the two design types are not quite frequently used in practical research, an unexpected research effect will be achieved if they are correctly adopted on appropriate occasions. Due to the limit of space, this article introduces two forms of crossover design.

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


Research subjects Drugs and PWC170
Winter Spring
1 A 159.4 B 153.8
2 B 129.4 A 159.8
3 B 122.1 A 137.6
4 A 130.4 B 137.8
5 A 150.7 B 140.2
6 B 129.9 A 146.1
7 B 166.3 A 210.9
8 A 208.7 B 169.9
9 A 180.1 B 150.7
10 B 143.4 A 150.8


Participants Doses and food intake
1 2 3
1 A (xx) B (xx) A (xx)
2 A (xx) B (xx) A (xx)
24 A (xx) B (xx) A (xx)
25 B (xx) A (xx) B (xx)
26 B (xx) A (xx) B (xx)
48 B (xx) A (xx) B (xx)
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