Quality‐Of‐Life Assessment: Can We Keep it Simple?
D. R. Cox,
R. Fitzpatrick,
A. E. Fletcher,
S. M. Gore,
D. J. Spiegelhalter and
D. R. Jones
Journal of the Royal Statistical Society Series A, 1992, vol. 155, issue 3, 353-375
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.
Date: 1992
References: Add references at CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
https://doi.org/10.2307/2982889
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssa:v:155:y:1992:i:3:p:353-375
Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-985X
Access Statistics for this article
Journal of the Royal Statistical Society Series A is currently edited by A. Chevalier and L. Sharples
More articles in Journal of the Royal Statistical Society Series A from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().