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Applying Concepts of Generalizability Theory on Clinical Trial Data to Investigate Sources of Variation and Their Impact on Reliability

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  • Tony Vangeneugden
  • Annouschka Laenen
  • Helena Geys
  • Didier Renard
  • Geert Molenberghs

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Suggested Citation

  • Tony Vangeneugden & Annouschka Laenen & Helena Geys & Didier Renard & Geert Molenberghs, 2005. "Applying Concepts of Generalizability Theory on Clinical Trial Data to Investigate Sources of Variation and Their Impact on Reliability," Biometrics, The International Biometric Society, vol. 61(1), pages 295-304, March.
  • Handle: RePEc:bla:biomet:v:61:y:2005:i:1:p:295-304
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2005.031040.x
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    Cited by:

    1. Tony Vangeneugden & Geert Molenberghs & Geert Verbeke & Clarice G.B. Dem�trio, 2011. "Marginal correlation from an extended random-effects model for repeated and overdispersed counts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(2), pages 215-232, September.
    2. Chen, Chia-Cheng & Barnhart, Huiman X., 2008. "Comparison of ICC and CCC for assessing agreement for data without and with replications," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 554-564, December.
    3. Masatoshi Teraguchi & Dino Samartzis & Hiroshi Hashizume & Hiroshi Yamada & Shigeyuki Muraki & Hiroyuki Oka & Jason Pui Yin Cheung & Ryohei Kagotani & Hiroki Iwahashi & Sakae Tanaka & Hiroshi Kawaguch, 2016. "Classification of High Intensity Zones of the Lumbar Spine and Their Association with Other Spinal MRI Phenotypes: The Wakayama Spine Study," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-15, September.
    4. Chen, Chia-Cheng & Barnhart, Huiman X., 2013. "Assessing agreement with intraclass correlation coefficient and concordance correlation coefficient for data with repeated measures," Computational Statistics & Data Analysis, Elsevier, vol. 60(C), pages 132-145.

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