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Quality‐Of‐Life Assessment: Can We Keep it Simple?

Author

Listed:
  • D. R. Cox
  • R. Fitzpatrick
  • A. E. Fletcher
  • S. M. Gore
  • D. J. Spiegelhalter
  • D. R. Jones

Abstract

The importance of general statistical principles of study design and analysis to quality‐of‐life assessment in clinical trials is emphasized. Basic methods are reviewed briefly, with reference to three examples. Careful use of standard tools supplemented with context‐specific scales is recommended. Problems of weighting and aggregation are discussed; the use of simple weighting schemes supplemented by sensitivity analysis is suggested. Some technical issues are explored, including factorial question structure, components of variance to distinguish mean treatment and patient‐specific treatment effects and informative loss to follow‐up. Simplicity of design, analysis and presentation are stressed.

Suggested Citation

  • D. R. Cox & R. Fitzpatrick & A. E. Fletcher & S. M. Gore & D. J. Spiegelhalter & D. R. Jones, 1992. "Quality‐Of‐Life Assessment: Can We Keep it Simple?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 155(3), pages 353-375, May.
    • Handle: RePEc:bla:jorssa:v:155:y:1992:i:3:p:353-375
    DOI: 10.2307/2982889
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    Cited by:

    1. Milica Maricic & Jose A. Egea & Veljko Jeremic, 2019. "A Hybrid Enhanced Scatter Search—Composite I-Distance Indicator (eSS-CIDI) Optimization Approach for Determining Weights Within Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 497-537, July.
    2. Alok Bhargava, 2006. "Modelling the Health of Filipino Children," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 11, pages 153-168, World Scientific Publishing Co. Pte. Ltd..
    3. Javier Rodrigo-Ilarri & Claudia P. Romero & María-Elena Rodrigo-Clavero, 2020. "Land Use/Land Cover Assessment over Time Using a New Weighted Environmental Index (WEI) Based on an Object-Oriented Model and GIS Data," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    4. Melanie L. Bell & Madeleine T. King & Diane L. Fairclough, 2014. "Bias in Area Under the Curve for Longitudinal Clinical Trials With Missing Patient Reported Outcome Data," SAGE Open, , vol. 4(2), pages 21582440145, May.
    5. Mark J. Laan & Alan Hubbard, 1999. "Locally Efficient Estimation of the Quality-Adjusted Lifetime Distribution with Right-Censored Data and Covariates," Biometrics, The International Biometric Society, vol. 55(2), pages 530-536, June.
    6. Lee, You-Kyung, 2020. "Sustainability of nuclear energy in Korea: From the users’ perspective," Energy Policy, Elsevier, vol. 147(C).
    7. Pai-Lien Chen & Pranab K. Sen, 2001. "Quality-Adjusted Survival Estimation with Periodic Observations," Biometrics, The International Biometric Society, vol. 57(3), pages 868-874, September.
    8. Dennis Dobler & Andrew Titman, 2020. "Dynamic inference for non‐Markov transition probabilities under random right censoring," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(2), pages 572-586, June.
    9. Fan Yang & Peng Ding, 2018. "Using survival information in truncation by death problems without the monotonicity assumption," Biometrics, The International Biometric Society, vol. 74(4), pages 1232-1239, December.
    10. Yijian Huang, 1999. "The Two-Sample Problem with Induced Dependent Censorship," Biometrics, The International Biometric Society, vol. 55(4), pages 1108-1113, December.
    11. Karen M. Facey & Nicola Bedlington & Sarah Berglas & Neil Bertelsen & Ann N. V. Single & Victoria Thomas, 2018. "Putting Patients at the Centre of Healthcare: Progress and Challenges for Health Technology Assessments," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(6), pages 581-589, December.
    12. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    13. Khatab Alqararah, 2023. "Assessing the robustness of composite indicators: the case of the Global Innovation Index," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-22, December.

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