Experimental design and power

Part of the Statistics for Biology and Health book series (SBH)

Sound experimental design is essential to good science. Scientific review committees reviewing research proposals usually look for evidence of careful experimental design. They may also desire, and it may be in the researcher’s self-interest, that experiments be economical. Much of good experimental design is a mixture of common sense, pragmatism, and careful forethought, which are difficult to codify. Nonetheless, some general principles for experimental design can be laid out. In this chapter, we discuss issues special to QTL experiments with the help of the R package, R/qtlDesign.


Recombinant Inbred Line Selection Fraction Support Interval Cross Type Selective Genotyping 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag New York 2009

Authors and Affiliations

  1. 1.Dept. Biostatistics & Medical InformaticsUniversity of Wisconsin-MadisonMadisonUSA
  2. 2.Dept. Epidemiology & BiostatisticsUniversity of California San FranciscoSan FranciscoUSA

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