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Simple nomograms to calculate sample size in diagnostic studies
  1. Correspondence to:
 Dr S Carley
 Manchester Royal Infirmary, Manchester M13 9WL, UK; simon.carleycmmc.nhs.uk
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Citation

Carley S, Dosman S, Jones SR, et al
Simple nomograms to calculate sample size in diagnostic studies

Publication history

  • Accepted December 11, 2003
  • First published February 25, 2005.
Online issue publication 
February 25, 2005
  • Erratum Please note that there is an error in the example line given on the specificity nomogram (figure 1 part B) in this article. The calculation lines on the nomogram are correct but the worked example given clearly does not meet the calculating lines. The correct example can be seen in the larger version of the nomogram at http://emj.bmjjournals.com/cgi/content/full/22/3/180/DC1?ck=nck . It should be noted that the error only affects the example and not the underlying nomogram itself.

    • Figure 1: Larger version

      A larger version of figure 1 is available here.

      Figure 1 (A) Specificity plot for pα = 0.05. Example: P = 0.55, CI = 0.04, SP = 0.90 giving n = 480.

      Figure 1 (B) Sensitivity plot for ppα = 0.05. Example: P = 0.55, CI = 0.04, SP = 0.90 giving n = 393.

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