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Quality of Life Research

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01.09.2008 | Brief Communication

Statistical methodology is crucial in prognostic factor analysis of health-related quality of life

verfasst von: M. E. Mauer, A. Bottomley, C. Coens

Erschienen in: Quality of Life Research | Ausgabe 7/2008

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We read with great interest the recent publication by Park et al. [1] entitled Self-reported health-related quality of life predicts survival for patients with advanced gastric cancer treated with first-line chemotherapy. We congratulate the authors on their important work. This topic is critically relevant to patients, clinicians, researchers, and policy makers. Further research in this field and detailed reporting of the results of prognostic factor analysis of health-related quality of life (HRQOL) data in cancer patients are surely needed. …

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Nächster Artikel In reply to Mauer et al. “Statistical methodology is crucial in prognostic factor-analysis of health-related quality of life”

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Park, S. H., Cho, M. S., Kim, Y. S., Hong, J., Nam, E., Park J., et al. (2008). Self-reported health-related quality of life predicts survival for patients with advanced gastric cancer treated with first-line chemotherapy. Quality of Life Research, 17(2), 207–214. doi:10.1007/s11136-008-9307-8.PubMedCrossRef

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.PubMedCrossRef

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.PubMedCrossRef

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).

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.PubMedCrossRef

Efficace, F. et al. Validation of patient’s self-reported social functioning as an independent prognostic factor for survival in metastatic colorectal cancer patients. Results of an international study by the Chronotherapy Group of the European Organisation for Research and Treatment of Cancer. Journal of Clinical Oncology, 26(12), 2020–2026.

Sauerbrei, W., & Schumacher, M. A bootstrap resampling procedure for model building: Application to the Cox regression model. Statistics in Medicine, 11, 2093–2109.

Titel: Statistical methodology is crucial in prognostic factor analysis of health-related quality of life
verfasst von: M. E. Mauer
A. Bottomley
C. Coens
Publikationsdatum: 01.09.2008
Verlag: Springer Netherlands
Erschienen in: Quality of Life Research / Ausgabe 7/2008
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-008-9357-y

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