Advances in statistical methods for the health sciences : by Jean-Louis Auget; et al

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Extra info for Advances in statistical methods for the health sciences : applications to cancer and AIDS studies, genome sequence analysis, and survival analysis

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Clark, G. M. for the Statistics Subcommittee of the NCI/EORTC Working Group on Cancer Diagnostics (2005). Reporting recommendations for tumor marker prognostic studies (REMARK), Journal of the National Cancer Institute, 97, 1180–1184. 15. Oxman, A. , Clarke, M. , and Stewart, L. A. (1995). From science to practice. Meta-analyses using individual patient data are needed, Journal of the American Medical Association, 274, 845–846. 16. Parmar, M. , and Stewart, L. (1998). Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints, Statistics in Medicine, 17, 2815–2834.

In time, we may hope that reporting guidelines for primary prognostic studies may lead to better quality published information; see McShane, Altman, and Sauerbrei (2005). Individual patient data undoubtedly provide the best quality of information for any systematic review. The great disadvantage is that it is tremendously Systematic Review of Multiple Studies of Prognosis 15 time-consuming – the whole process can take several years. Also, we note that it cannot overcome either deficiencies of individual studies or heterogeneity of methodological approaches, although such issues will become much clearer in an IPD systematic review.

Altman et al. References 1. Altman, D. G. (2001). Systematic reviews of evaluations of prognostic variables, British Medical Journal, 323, 224–228. 2. Altman, D. , and Schumacher, M. (1994). Dangers of using “optimal” cutpoints in the evaluation of prognostic factors, Journal of the National Cancer Institute, 86, 829–835. 3. Altman, D. , and Lyman, G. H. (1998). Methodological challenges in the evaluation of prognostic factors in breast cancer, Breast Cancer Research Treatment, 52, 289–303. 4. , and Friedenreich, C.

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