By Douglas G. Altman, Marialena Trivella, Francesco Pezzella, Adrian L. Harris (auth.), Jean-Louis Auget, N. Balakrishnan, Mounir Mesbah, Geert Molenberghs (eds.)
Statistical equipment became more and more vital and now shape imperative a part of learn within the well-being sciences. Many subtle methodologies were constructed for particular functions and difficulties. This self-contained quantity, an outgrowth of an "International convention on Statistical tools in overall healthiness Sciences," covers a variety of subject matters bearing on new statistical tools and novel functions within the overall healthiness sciences.
The chapters, written by way of prime specialists of their respective fields, are thematically divided into the subsequent areas:
* Prognostic reviews and common epidemiology
* caliber of life
* Survival analysis
* safeguard and efficacy assessment
* scientific design
* types for the environment
* Genomic analysis
* Animal health
This entire quantity can be hugely necessary an of significant curiosity to the health and wellbeing technological know-how neighborhood in addition to practitioners, researchers, and graduate scholars in utilized likelihood, records, and biostatistics.
Read Online or Download Advances in Statistical Methods for the Health Sciences: Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis PDF
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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
An unpublished prognostic ‘study’ may be merely a set of data sitting on a computer, possibly with little documentation. Indeed, their existence may well be nearly forgotten. Unpublished studies can be identiﬁed through a variety of strategies including asking personal contacts, advertising the project on the Internet, on email lists, or at conferences, and writing to appropriate departments. It is particularly relevant to ask groups who are known to have relevant data if they know of other groups with similar data.
Gospodarowicz, D. E. Henson, R. V. P. Hutter, B. 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.
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. 6. Clarke, M. , and Stewart, L. A. (2000). , M. Egger, G. Davey Smith, and D. G. Altman), pp. 109–121, BMJ Books, London. 7. Early Breast Cancer Trialists’ Collaborative Group (1998).