Statistical methodology is crucial in prognostic factor analysis of health-related quality of life
Author:
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health
Link
http://link.springer.com/content/pdf/10.1007/s11136-008-9357-y.pdf
Reference7 articles.
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2. Kaasa, S., Mastekaasa, A., & Lund, E. (1989). Prognostic factors for patients with inoperable non-small cell lung cancer, limited disease. The importance of patients’ subjective experience of disease and psychosocial well-being. Radiotherapy and Oncology, 15(3), 235–242. doi:10.1016/0167-8140(89)90091-1.
3. Gotay, C. C., Kawamoto, C. T., Bottomley, A., & Efficace, F. (2008). The prognostic significance of patient-reported outcomes in cancer clinical trials. Journal of Clinical Oncology, 26(8), 1355–1363. doi:10.1200/JCO.2007.13.3439.
4. Mauer, M. E., Bottomley, A., Coens, C., & Gotay, C. C. (2008). Prognostic factor analysis of health-related quality of life data in cancer: A statistical methodological evaluation. Expert Review of Pharmacoeconomics and Outcomes Research, 8(2) (in press).
5. Efficace, F., Bottomley, A., Coens, C., Van Steen, K., Conroy, T., Schöffski, P., et al. (2006). Does a patient’s self-reported health-related quality of life predict survival beyond key biomedical data in advanced colorectal cancer? European Journal of Cancer, 42(1), 42–49. doi:10.1016/j.ejca.2005.07.025.
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