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Extra resources for Advances in statistical methods for the health sciences : applications to cancer and AIDS studies, genome sequence analysis, and survival analysis
In this chapter, we thus focus on the logistic issues as they provide the greatest challenges and take the majority of the total time of such a project. The ﬁndings of the analysis will be presented elsewhere. In the following sections, we discuss general issues and then describe how we dealt with these issues in PILC. 1 Identifying studies (data sets) and obtaining the data For systematic reviews based on published data, it is generally the aim to include as many studies as possible. For IPD systematic reviews, it is natural to adopt the same philosophy.
2 Figures Qualitative assessment of yoghurt and curdled milk. The probability of contamination The components of risk estimation Presentation of the global chart of the analysis. [From OIE (2001)] 524 529 530 Advances in Statistical Methods for the Health Sciences PART I Prognostic Studies and General Epidemiology 1 Systematic Review of Multiple Studies of Prognosis: The Feasibility of Obtaining Individual Patient Data Douglas G. Altman,1 Marialena Trivella,1 Francesco Pezzella,2 Adrian L. Harris,3 and Ugo Pastorino4 1 Cancer Research UK/NHS Centre for Statistics in Medicine, Oxford, UK Research UK Pathology Unit, John Radcliﬀe Hospital, Oxford, UK 3 Cancer Research UK Oncology Unit, Churchill Hospital, Oxford, UK 4 Istituto Nazionale Tumori, Milan, Italy 2 Cancer Abstract: Studies of prognosis have received rather little attention by those carrying out systematic reviews.
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. (1999).