New PDF release: Advances in statistical methods for the health sciences :

By Jean-Louis Auget; et al

ISBN-10: 0817643680

ISBN-13: 9780817643683

ISBN-10: 081764542X

ISBN-13: 9780817645427

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

Example text

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.

O’Sullivan, L. H. Sobin, and C. Wittekind), pp. 49–56, Wiley-Liss, New York. 27. , and Altman, D. G. (1994). Statistical aspects of prognostic factor studies in oncology, British Journal of Cancer, 69, 979–985. 28. Stewart, L. , and Clarke, M. J. (1995). Practical methodology of metaanalyses (overviews) using updated individual patient data. 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.

Holl¨ ander and W. Sauerbrei Institute of Medical Biometry and Medical Informatics, Freiburg, Germany Abstract: Various statistical methods to analyse prognostic marker studies are available and are used in practice. Issues of multivariable model building will be discussed in the framework of regression models and classification and regression trees (CART). It is shown that the choice of one specific statistical method has a strong influence on the results and, therefore, on the interpretation of a prognostic marker.

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Advances in statistical methods for the health sciences : applications to cancer and AIDS studies, genome sequence analysis, and survival analysis by Jean-Louis Auget; et al


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