Advances in statistical methods for the health sciences : - download pdf or read online

By Jean-Louis Auget; et al

ISBN-10: 0817643680

ISBN-13: 9780817643683

ISBN-10: 081764542X

ISBN-13: 9780817645427

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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

Sample text

Furthermore, some recorded the mean of several counts whereas others recorded the maximum. Perhaps not surprisingly, therefore, we found that the all vessels counts varied considerably across studies, both in terms of the average count and the shape of the distribution. The Chalkley measurements were rather more consistent across studies. Fortunately, three studies had used both methods enabling us to make a direct comparison. Analysis of these data sets showed rather poor agreement. As a result, it was decided that all subsequent data analyses would be performed separately for Chalkley and all vessels data.

Methodological challenges in the evaluation of prognostic factors in breast cancer, Breast Cancer Research Treatment, 52, 289–303. 4. , and Friedenreich, C. (1999). Traditional reviews, meta-analyses and pooled analyses in epidemiology, International Journal of Epidemiology, 28, 1–9. 5. , and French, R. (1998). The association between maternal HIV infection and perinatal outcome: A systematic review of the literature and meta-analysis, British Journal of Obstetrics and Gynaecology, 105, 836–848.

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. 17. , and Buyse, M. (2004). Meta-analyses based on abstracted data: A step in the right direction, but only a first step, Journal of the National Clinical Oncology, 22, 3839–3841. 18. , and Houlston, R.

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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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