Book contents
- Frontmatter
- Contents
- Preface
- 1 Forward look
- 2 Unstructured experiments
- 3 Simple treatment structure
- 4 Blocking
- 5 Factorial treatment structure
- 6 Row–column designs
- 7 Experiments on people and animals
- 8 Small units inside large units
- 9 More about Latin squares
- 10 The calculus of factors
- 11 Incomplete-block designs
- 12 Factorial designs in incomplete blocks
- 13 Fractional factorial designs
- 14 Backward look
- Exercises
- Sources of examples, questions and exercises
- Further reading
- References
- Index
1 - Forward look
Published online by Cambridge University Press: 30 October 2009
- Frontmatter
- Contents
- Preface
- 1 Forward look
- 2 Unstructured experiments
- 3 Simple treatment structure
- 4 Blocking
- 5 Factorial treatment structure
- 6 Row–column designs
- 7 Experiments on people and animals
- 8 Small units inside large units
- 9 More about Latin squares
- 10 The calculus of factors
- 11 Incomplete-block designs
- 12 Factorial designs in incomplete blocks
- 13 Fractional factorial designs
- 14 Backward look
- Exercises
- Sources of examples, questions and exercises
- Further reading
- References
- Index
Summary
Stages in a statistically designed experiment
There are several stages in designing an experiment and carrying it out.
Consultation
The scientist, or other investigator, comes to the statistician to ask advice on the design of the experiment. Sometimes an appointment is made; sometimes the approach is by telephone or email with the expectation of an instant answer. A fortunate statistician will already have a good working relationship with the scientist. In some cases the scientist and statistician will both view their joint work as a collaboration.
Ideally the consultation happens in plenty of time before the experiment. The statistician will have to ask questions to find out about the experiment, and the answers may not be immediately available. Then the statistician needs time to think, and to compare different possible designs. In complicated cases the statistician may need to consult other statisticians more specialized in some aspect of design.
Unfortunately, the statistician is sometimes consulted only the day before the experiment starts. What should you do then? If it is obvious that the scientist has contacted you just so that he can write ‘Yes’ on a form in response to the question ‘Have you consulted a statistician?’ then he is not worth spending time on. More commonly the scientist genuinely has no idea that statistical design takes time. In that case, ask enough questions to find out the main features of the experiment, and give a simple design that seems to answer the purpose. Impress on the scientist that this design may not be the best possible, and that you can do better if given more notice.
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- Information
- Design of Comparative Experiments , pp. 1 - 18Publisher: Cambridge University PressPrint publication year: 2008