Skip to main content

Study Design

  • Chapter
  • First Online:
Statistical Decision Theory

Part of the book series: SpringerBriefs in Statistics ((BRIEFSSTATIST))

  • 2532 Accesses

Abstract

The previous chapters were almost exclusively concerned with data analysis. We frequently analyse datasets that were collected without our input as to how the observational units or experimental subjects should be selected, how many of them, which measurement instruments and protocols should be applied, how the recorded information should be coded, and other details. Many analyses are secondary, related to issues other than the original (and the principal) motive for the study.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Julious, S. A. (2009). Sample sizes for clinical trials. London, UK: Chapman and Hall/CRC.

    Book  Google Scholar 

  • Kish, L. (1965). Survey sampling. New York: Wiley.

    MATH  Google Scholar 

  • Kish, L. (1987). Statistical design for research. New York: Wiley.

    Book  MATH  Google Scholar 

  • Lenth, R. (2001). Some practical guidelines for effective sample size determination. The American Statistician, 55, 187–193.

    Article  MathSciNet  Google Scholar 

  • Longford, N. T. (2006). Sample size calculation for small-area estimation. Survey Methodology, 32, 87–96.

    Google Scholar 

  • Longford, N. T. (2013). Sample size calculation for comparing two normal random samples using equilibrium priors. Communications in Statistics - Simulation and Computation 42 (to appear).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nicholas T. Longford .

Rights and permissions

Reprints and permissions

Copyright information

© 2013 The Author

About this chapter

Cite this chapter

Longford, N.T. (2013). Study Design. In: Statistical Decision Theory. SpringerBriefs in Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40433-7_8

Download citation

Publish with us

Policies and ethics