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

By Jean-Louis Auget; et al

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The vast majority of systematic reviews are based on published studies, primarily because of the relative ease with which they can be done (even though it is not that easy) [Piedbois and Buyse (2004)]. The alternative of obtaining the individual patient data (IPD) from multiple studies [Clarke and Stewart (2000), Stewart and Clarke (1995), and Oxman, Clarke, and Stewart (1995)] is in principle far more valuable but also potentially problematic. We believe that there have been very few IPD systematic reviews of prognostic marker studies.

Cochrane Working Group, Statistics in Medicine, 14, 2057–2079. 29. Trivella, M. , Altman, D. , and Harris, A. L. (2006). Angiogenesis as a prognostic factor in non-small cell lung carcinoma. A meta-analysis using individual patient data, Submitted for publication. 30. Williamson, P. , Smith, C. , Hutton, J. , and Marson, A. G. (2002). Aggregate data meta-analysis with time-to-event outcomes, Statistics in Medicine, 21, 3337–3351. 2 On Statistical Approaches for the Multivariable Analysis of Prognostic Marker Studies N.

The shapes of the summary Kaplan–Meier curves prompted researchers to recheck their data and correct errors. Systematic Review of Multiple Studies of Prognosis 11 back to the centres to ensure that all the information had been correctly understood and interpreted. As a consequence, some further details were amended. 3 MVD measurements Particular issues arose in the PILC study relating to the MVD measurements. Ideally all the studies would have used identical or at least similar laboratory methods, as even minor differences could affect the quantification.

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