Skip to main content

Simultaneous Inferences for Ratio Parameters Using Multiple Contrasts Test

  • Chapter
  • First Online:
Book cover Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R

Part of the book series: Use R! ((USE R))

  • 2881 Accesses

Abstract

In Chap. 16, we wish to search for genes for which the mean gene-expression increases by 100 ×δ% from the control for at least one (perhaps the highest) dose, where δ is a relative biological ratio of interest. Genes can be tested for a pre-specified δ and can be ranked based on the significance of the ratio test. Genes found significant with a large δ are of higher interest to the biologists. We discuss the ratio test statistic and the link between Williams- and Marcus-type multiple contrasts tests (MCTs) and the corresponding ratio testing procedures

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

  • Bretz, F. (2006). An extension of the Williams trend test to general unbalanced linear models. Computational Statistics & Data Analysis, 50, 1735–1748.

    Google Scholar 

  • Dilba, D., Bretz, F., Guiard, V., & Hothorn, L. A. (2004). Simultaneous confidence intervals for ratios with application to the comparison of several treatments with a control. Method of Information in Medicine 43, 465–469.

    Google Scholar 

  • Dilba, G., Bretz, F., Hothorn, L. A., & Guiard, V. (2006a). Power and sample size computations in simultaneous tests for non-inferiority based on relative margins. Statistics in Medicine, 25, 1131–1147.

    Google Scholar 

  • Dilba, G., Brets, F., & Guiard, V. (2006b). Simultaneous confidence sets and confidence intervals for multiple ratios. Journal of Statistical Planning and Inference, 136, 2640–2658.

    Google Scholar 

  • Djira, G. D. (2010). Relative potency estimation in parallel-line assys—Method comparison and some extensions. Communications in Statistics—Theory and Methods, 39, 1180–1189.

    Google Scholar 

  • Dilba, G, Schaarschmidt, F., & Hothorn, L. A. (2007). Inferences for ratios of normal means. RNews 7, 1, 20–23.

    Google Scholar 

  • Hothorn, L. A., & Djira, G. D. (2010). Ratio-to-control Williams-type test for trend. Pharmaceutical Statistics. doi:10.1002/pst.464.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dan Lin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Lin, D., Djira, G.D., Shkedy, Z., Burzykowski, T., Hothorn, L.A. (2012). Simultaneous Inferences for Ratio Parameters Using Multiple Contrasts Test. In: Lin, D., Shkedy, Z., Yekutieli, D., Amaratunga, D., Bijnens, L. (eds) Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R. Use R!. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24007-2_16

Download citation

Publish with us

Policies and ethics