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Comment
. 2009 Apr;132(Pt 4):e103; author reply e102.
doi: 10.1093/brain/awn090.

Reply: A plea for confidence intervals and consideration of generalizability in diagnostic studies

Chris Frost, Constantinos Kallis
Comment

Reply: A plea for confidence intervals and consideration of generalizability in diagnostic studies

Chris Frost et al. Brain. 2009 Apr.
No abstract available

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Figures

Figure 1
Figure 1
Alzheimer's disease patients from all clinical stages (including all subjects from group III) and an equal number of age and sex matched cognitively normal controls are separated repeatedly. Before each classification, one patient and one control are removed to illustrate the robustness of classification with shrinking group size.
See this image and copyright information in PMC

Comment on

  • Automatic classification of MR scans in Alzheimer's disease.
    Klöppel S, Stonnington CM, Chu C, Draganski B, Scahill RI, Rohrer JD, Fox NC, Jack CR Jr, Ashburner J, Frackowiak RS. Klöppel S, et al. Brain. 2008 Mar;131(Pt 3):681-9. doi: 10.1093/brain/awm319. Epub 2008 Jan 17. Brain. 2008. PMID: 18202106 Free PMC article.

References

    1. Kloppel S, Stonnington CM, Chu C, Draganski B, Scahill RI, Rohrer JD, et al. Automatic classification of MR scans in Alzheimer's disease. Brain. 2008;131:681–9. - PMC - PubMed
    1. BBC. Computers ‘spot Alzheimer's fast’. 2008. http://news.bbc.co.uk/2/hi/health/7258379.stm.
    1. Newcombe RG. Two-sided confidence intervals for the single proportion: comparison of seven methods. Stat Med. 1998;17:857–72. - PubMed