Agency for Healthcare Research and Quality: Calculating the U.S. Population-based EQ-5D™ Index Score. http://www.ahrq.gov/professionals/clinicians-providers/resources/rice/EQ5Dscore.html (2005). Accessed 1 June 2013
Bock, R.D., Aitkin, M.: Marginal maximum likelihood estimation of item parameters: application of an EM algorithm. Psychometrika 46, 443–459 (1981)
Article
Google Scholar
Bock, R.D., Gibbons, R.D.: Factor analysis of categorical item responses. In: Nering, M., Ostini, R. (eds.) Handbook of Polytomous Item Response Theory Models: Development and Applications. Lawrence Erlbaum, Florence (2010)
Google Scholar
Brooks, R., Rabin, R., Charro, F.D.: The Measurement and Valuation of Health Status Using EQ-5D: A European Perspective: Evidence from the EuroQol BIO MED Research Programme. Springer, New York (2003)
Chuang, L.-H., Kind, P.: Converting the SF-12 into the EQ-5D. Pharmacoeconomics 27(6), 491–505 (2009). doi:10.2165/00019053-200927060-00005
PubMed
Article
Google Scholar
Duan, N., Manning, W.G., Morris, C.N., Newhouse, J.P.: A comparison of alternative models for the demand for medical care. J. Bus. Econ. Stat. 1(2), 115–126 (1983). doi:10.2307/1391852
Google Scholar
Fleishman, J.A.: Demographic and Clinical Variations in Health Status. http://meps.ahrq.gov/data_files/publications/mr15/mr15.pdf (2005). Accessed 1 Nov 2013
Franks, P., Lubetkin, E.I., Gold, M.R., Tancredi, D.J., Jia, H.: Mapping the SF-12 to the EuroQol EQ-5D Index in a national US sample. Med. Decis. Mak. 24(3), 247–254 (2004)
Article
Google Scholar
Gibbons, R.D., Hedeker, D.: Full-information item bifactor analysis. Psychometrika 57, 423–436 (1992)
Article
Google Scholar
Gibbons, R.D., Bock, R.D., Hedeker, D., Weiss, D., Bhaumik, D.K., Kupfer, D., Frank, E., Grochocinski, V., Stover, A.: Full-information item bifactor analysis of graded response data. Appl. Psychol. Meas. 31, 4–19 (2007)
Article
Google Scholar
Gray, A.M., Rivero-Arias, O., Clarke, P.M.: Estimating the association between SF-12 responses and EQ-5D utility values by response mapping. Med. Decis. Mak. 26(1), 18–29 (2006). doi:10.1177/0272989X05284108
Article
Google Scholar
Hedeker, D., Gibbons, R.D.: Longitudinal Data Analysis. Wiley, New York (2006)
Google Scholar
Holzinger, K.J., Swineford, F.: The bifactor method. Psychometrika 2, 41–54 (1937)
Article
Google Scholar
Joreskog, K.G.: A general approach to confirmatory maximum likelihood factor analysis. Psychometrika 34, 183–202 (1969)
Article
Google Scholar
Lawrence, W.F., Fleishman, J.A.: Predicting EuroQoL EQ-5D preference scores from the SF-12 Health Survey in a nationally representative sample. Med. Decis. Mak. 24(2), 160–169 (2004). doi:10.1177/0272989X04264015
Article
Google Scholar
Le, Q.A., Doctor, J.N.: Probabilistic mapping of descriptive health status responses onto health state utilities using Bayesian networks: an empirical analysis converting SF-12 into EQ-5D utility index in a national US sample. Med. Care 49(5), 451–460 (2011). doi:10.1097/MLR.0b013e318207e9a8
PubMed
Article
Google Scholar
Li, L., Fu, A.Z.: Some methodological issues with the analysis of preference-based EQ-5D index score. Health Serv. Outcomes Res. Methods 9(3), 162–176 (2009). doi:10.1007/s10742-009-0053-3
Article
Google Scholar
Longworth, L., Rowen, D.: Mapping to obtain EQ-5D utility values for use in NICE health technology assessments. Value Health 16(1), 202–210 (2013). doi:10.1016/j.jval.2012.10.010
PubMed
Article
Google Scholar
Muthen, B.O.: Latent variable modeling in heterogeneous populations. Psychometrika 54, 557–585 (1989)
Article
Google Scholar
Rubin, D.B.: Inference and missing data. Biometrika 63, 581–592 (1976)
Article
Google Scholar
Samejima, F.: Estimation of latent ability using a response pattern of graded scores. Psychom. Monogr. Suppl. 35, 139–139 (1969)
Shaw, J.W., Johnson, J.A., Coons, S.J.: US valuation of the EQ-5D health states: development and testing of the D1 valuation model. Med. Care 43(3), 203–220 (2005)
PubMed
Article
Google Scholar
Sullivan, P.W., Ghushchyan, V.: Mapping the EQ-5D index from the SF-12: US general population preferences in a nationally representative sample. Med. Decis. Mak. 26(4), 401–409 (2006). doi:10.1177/0272989X06290496
Article
Google Scholar
Torrance, G.W., Thomas, W.H., Sackett, D.L.: A utility maximization model for evaluation of health care programs. Health Serv. Res. 7(2), 118–133 (1972)
CAS
PubMed Central
PubMed
Google Scholar
Tucker, L.R.: An inter-battery method of factor analysis. Psychometrika 23, 111–136 (1958)
Article
Google Scholar
Ware Jr, J., Kosinski, M., Keller, S.D.: A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med. Care 34(3), 220–233 (1996)
PubMed
Article
Google Scholar