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Inference for Kappas for Longitudinal Study Data: Applications to Sexual Health Research

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  • Yan Ma
  • Wan Tang
  • Changyong Feng
  • Xin M. Tu

Abstract

Summary Analysis of instrument reliability and rater agreement is used in a wide range of behavioral, medical, psychosocial, and health‐care‐related research to assess psychometric properties of instruments, consensus in disease diagnoses, fidelity of psychosocial intervention, and accuracy of proxy outcomes. For categorical outcomes, Cohen's kappa is the most widely used index of agreement and reliability. In many modern‐day applications, data are often clustered, making inference difficult to perform using existing methods. In addition, as longitudinal study designs become increasingly popular, missing data have become a serious issue, and the lack of methods to systematically address this problem has hampered the progress of research in the aforementioned fields. In this article, we develop a novel approach based on a new class of kappa estimates to tackle the complexities involved in addressing missing data and other related issues arising from a general multirater and longitudinal data setting. The approach is illustrated with real data in sexual health research.

Suggested Citation

  • Yan Ma & Wan Tang & Changyong Feng & Xin M. Tu, 2008. "Inference for Kappas for Longitudinal Study Data: Applications to Sexual Health Research," Biometrics, The International Biometric Society, vol. 64(3), pages 781-789, September.
  • Handle: RePEc:bla:biomet:v:64:y:2008:i:3:p:781-789
    DOI: 10.1111/j.1541-0420.2007.00934.x
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    References listed on IDEAS

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    1. Huiman X. Barnhart & Michael Haber & Jingli Song, 2002. "Overall Concordance Correlation Coefficient for Evaluating Agreement Among Multiple Observers," Biometrics, The International Biometric Society, vol. 58(4), pages 1020-1027, December.
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    Cited by:

    1. Pan Yi & Rose Charles E. & Haber Michael & Ma Yan & Carrasco Josep L. & Stewart Brock & Keitel Wendy A. & Keyserling Harry & Jacobson Robert M. & Poland Gregory & McNeil Michael M., 2013. "Assessing Agreement of Repeated Binary Measurements with an Application to the CDC’s Anthrax Vaccine Clinical Trial," The International Journal of Biostatistics, De Gruyter, vol. 9(1), pages 19-32, July.
    2. D. Gunzler & W. Tang & N. Lu & P. Wu & X. Tu, 2014. "A Class of Distribution-Free Models for Longitudinal Mediation Analysis," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 543-568, October.

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