Modelling Covariates For the SF-6D Standard Gamble Health State Preference Data Using a Nonparametric Bayesian Method  

Oleh:

Kharroubi, Samer ; Brazier, John E. ; O’Hagan, Anthony

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Social Science & Medicine (www.elsevier.com/locate/sosscimed) vol. 64 no. 6 (Mar. 2007), page 1242-1252.
Topik: Preference-based health measure; Covariates; Nonparametric Bayesian methods

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: SS53.10 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

It has long been recognised that respondent characteristics can impact on the values they give to health states. This paper reports on the findings from applying a non-parametric approach to estimate the covariates in a model of SF-6D health state values using Bayesian methods. The data set is the UK SF-6D valuation study, where a sample of 249 states defined by the SF-6D (a derivate of the SF-36) was valued by a sample of the UK general population using standard gamble. Advantages of the nonparametric model are that it can be used to predict scores in populations with different distributions of characteristics and that it allows for an impact to vary by health state (whilst ensuring that full health passes through unity). The results suggest an important age effect, with sex, class, education, employment and physical functioning probably having some effect, but the remaining covariates having no discernable effect. Adjusting for covariates in the UK sample made little difference to mean health state values. The paper discusses the implications of these results for policy.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali