eq5dmap: A command for mapping between EQ-5D-3L and EQ-5D-5L
Mónica Hernández-Alava () and
Stephen Pudney
Additional contact information
Mónica Hernández-Alava: University of Sheffield
Authors registered in the RePEc Author Service: Monica Hernandez Alava
Stata Journal, 2018, vol. 18, issue 2, 395-415
Abstract:
In this article, we describe a new command, eq5dmap, for conditional prediction of the utility values of EQ-5D-5L (EQ-5D-3L) from observed or speci- fied values of EQ-5D-3L (EQ-5D-5L) conditional on age and gender. Predictions can be made either from the five-item health descriptions or from the (exact or approximate) utility score. The prediction process is based on a joint statistical model of the two variants of EQ-5D that have been fit to alternative reference datasets (the National Data Bank for Rheumatic Diseases and a EuroQol Group coordinated data-collection study). The underlying model is a system of ordinal regressions with a flexible residual distribution specified as Gaussian or as a copula mixture. Use of the command is illustrated with an application that includes an investigation of the sensitivity of the mapping outcomes to the choice of reference dataset.
Keywords: eq5dmap; EQ-5D; EQ-5D-3L; EQ-5D-5L; mapping; conditional prediction; copula; mixture model (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0528 link to article purchase
http://www.stata-journal.com/software/sj18-2/st0528/ (text/html)
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:tsj:stataj:v:18:y:2018:i:2:p:395-415
Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html
Access Statistics for this article
Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins
More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().