Skip to main content

Data Visualization at the Individual Patient Level

  • Chapter
  • First Online:
A Picture is Worth a Thousand Tables

Abstract

Although displays of clinical trial data in clinical research primarily focus on group level data, researchers often find themselves focusing on individual patients in a clinical trial. Data displays of individual patient data in clinical research are needed for many reasons, such as individual case review to understand potential outliers or important adverse events. When reviewing individual patient data, understanding how the individual is different from or similar to reference populations is very important. Without the correct context, individual data can be very difficult to interpret. Following good principles of graphics, we can build helpful displays that allow for faster and more accurate decision making.

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 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Notes

  1. 1.

    MedDRA®; the Medical Dictionary for Regulatory Activities terminology is the international medical terminology developed under the auspices of the International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH). MedDRA®; is a registered trademark of the International Federation of Pharmaceutical Manufacturers and Associations (IFPMA).

  2. 2.

    Interactive figures created with S+Graphlets®;

References

  • Alzola CF, Harrell FE (2006) An introduction to S and the Hmisc and design libraries. Available from http://biostat.mc.vanderbilt.edu/wiki/pub/Main/RS/sintro.pdf. Electronic book, 310 pages. Accessed on 5 Sept 2012

  • Cleveland WS (1993) Visualizing data. Hobart Press

    Google Scholar 

  • Cleveland W (1994) The elements of graphing data. AT&T Bell Laboratories

    Google Scholar 

  • Few S (2004) Show Me the numbers: designing tables and graphs to enlighten. ISBN 0970601999. Analytics Press

    Google Scholar 

  • Few S (2006) Information dashboard design: the effective visual communication of data. O’Reilly Series. O’Reilly

    Google Scholar 

  • Powsner SM, Tufte ER (1994) Lancet 344(8919):386

    Google Scholar 

  • R Development Core Team (2011) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org. ISBN 3-900051-07-0

  • Sarkar D (2008) Lattice: multivariate data visualization with R. Springer, New York. URL http://lmdvr.r-forge.r-project.org. ISBN 978-0-387-75968-5

  • Sarkar D, Andrews F (2011) latticeExtra: extra graphical utilities based on lattice. URL http://R-Forge.R-project.org/projects/latticeextra/

  • TIBCO Software Inc., TIBCO Spotfire S+ 8.2 Guide to Graphics

    Google Scholar 

  • Tufte E (1983) The visual display of quantitative information. Graphics Press

    Google Scholar 

  • Unwin A, Theus M, Hofmann H (2006) Graphics of large datasets: visualizing a million. Statistics and computing. Springer, New York

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Matthew Austin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media, New York

About this chapter

Cite this chapter

Austin, M., Zhang, A. (2012). Data Visualization at the Individual Patient Level. In: Krause, A., O'Connell, M. (eds) A Picture is Worth a Thousand Tables. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-5329-1_14

Download citation

Publish with us

Policies and ethics