References
- Brazier J, Ratcliffe J, Saloman JA, Tsuchiya A. Measuring and Valuing Health Benefits for Economic Evaluation. Oxford: Oxford University Press; 2007.
- Ware JE, Snow KK, Kosisnki M, Gandek B. SF-36 Health Survey. Manual and Interpretation Guide. Boston, MA: The Health Institute, New England Medical Center; 1993.
- Loge JH, Kaasa S, Hjermstad MJ, Kvien TK. Translation and performance of the Norwegian SF-36 Health Survey in patients with rheumatoid arthritis.I. Data quality, scaling, assumptions, reliability, and construct validity. J Clin Epidemiol. 1998;51:1069–76.
- Brazier J, Roberts J, Deverill M. The estimation of a preference-based measure of health from the SF.-36. J Health Econ. 2002;21:271–92.
- Sintonen H. The 15D instrument of health-related quality of life: properties and applications. Ann Med. 2001;33: 328–36.
- Conner-Spady B, Suarez-Almazor ME. Variation in estimation of quality-adjusted life-years by different preference-based instruments. Med Care. 2003;41:791–801.
- Lillegraven S, Kristiansen IS, Kvien TK. Comparison of utility measures and their relationship with other health status measures in 1041 patients with rheumatoid arthritis. Ann Rheum Dis. 2010;69:1762–67.
- Whitehurst DGT, Bryan S. Another Study showing that two preference-based measures of health-related quality of life (EQ-5D and SF-6D) are not interchangeable. But why should we expect them to be. Value Health. 2011;14:531–38.
- Sørensen J, Linde L, Ostergaard M, Hetland ML. Quality-adjusted life expectancies in patients with rheumatoid arthritis - comparison of index scores from EQ-5D, 15D, and SF-6D. Value Health. 2012;15:334–39.
- Moock J, Kohlmann T. Comparing preference-based quality-of-life measures: results from rehabilitation patients with musculoskeletal, cardiovascular, or psychosomatic disorders. Qual Life Res. 2008;17:485–95.
- Stavem K, Frøland SS, Hellum KB. Comparison of preference-based utilities of the 15D, EQ-5D and SF-6D in patients with HIV/AIDS. Qual Life Res. 2005;4:971–80.
- Bøhmer E, Hoffmann P, Abdelnoor M, Arnesen H, Halvorsen S. Efficacy and safety of immediate angioplasty versus ischemia-guided management after thrombolysis in acute myocardial infarction in areas with very long transfer distances. J Am Coll Cardiol. 2010;55:102–10.
- Bøhmer E, Kristiansen IS, Arnesen H, Halvorsen S. Health and cost consequences of early versus late invasive strategy after thrombolysis for acute myocardial infarction. Eur J Cardiovasc Prev Rehabil. 2011;18:717–23.
- Walters SJ, Brazier JE. What is the relationship between the minimally important difference and health state utility values? The case of the SF.-6D. Health Qual Life Outcomes. 2003;1:4.
- Manca A, Hawkins N, Sculpher MJ. Estimating mean QALYs in trial-based cost-effectiveness analysis: the importance to control for baseline utility. Health Econ. 2005;14:487–96.
- Tomlinson G, Detsky AS. Composite endpoints inrandomized trials: there is no free lunch. JAMA. 2010; 303:267–8.
- Ferreira-Gonzáles I, Permanyer-Miralda G, Busse JW, Bryant DM, Montori VM, Alonso-Coello P, et al. Methodologic discussions for using and interpreting composite endpoints are limited, but still identify major concerns. J Clin Epidemiol. 2007;60:651–7.
- Bakal JA, Westerhout CM, Cantor WJ, Fernández-Avilés F, Welsh RC, Fitchett D, et al. Evaluation of early percutaneous coronary intervention vs. standard therapy after fibrinolysis for ST-segment elevation myocardial infarction: contribution of weighting the composite endpoint. Eur Heart J. 2013;34:903–8.
- Pocock SJ, Ariti CA, Collier TJ, Wang D. The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities. Eur Heart J. 2012;33:176–82.
- Cantor WJ, Fitchett D, Borgundvaag B, Ducas J, Heffernan M, Cohen EA, et al. Routine early angioplasty after fibrinolysis for acute myocardial infarction. N Engl J Med. 2009;360: 2705–18.
- Rumsfeld JS, Alexander KP, Goff DC, Graham MM, Ho PM, Masoudi FA, et al. Cardiovascular health: the importance of measuring patient-reported health status. Circulation. 2013;127:2233–49.