Advances in Statistical Methods for the Health Sciences: by Douglas G. Altman, Marialena Trivella, Francesco Pezzella,

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 very important and now shape critical a part of study within the overall healthiness sciences. Many refined methodologies were constructed for particular functions and difficulties. This self-contained quantity, an outgrowth of an "International convention on Statistical tools in healthiness Sciences," covers quite a lot of subject matters bearing on new statistical equipment and novel purposes within the future health sciences.

The chapters, written by means of top specialists of their respective fields, are thematically divided into the next areas:

* Prognostic stories and common epidemiology

* Pharmacovigilance

* caliber of life

* Survival analysis

* Clustering

* protection and efficacy assessment

* medical design

* types for the environment

* Genomic analysis

* Animal health

This complete quantity can be hugely helpful an of serious curiosity to the future health technology group in addition to practitioners, researchers, and graduate scholars in utilized likelihood, records, and biostatistics.

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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

Sample text

26. Simon, R. (2001). , M. K. 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.

2 Systematic Review Based on Individual Patient Data The broad reasons in favour of IPD reviews together with the principal benefits over reviews based on published studies are summarised by Riley et al. (2006). Key advantages include being able to analyse the data in a consistent manner and reducing (if not eliminating) the effect of publication bias. Noteworthy disadvantages are the considerable resources needed to carry out such a review and difficulties encountered in obtaining the data sets, particularly if they were created a long time ago.

Schmitz-Dr¨ ager et al. (2000)] Acknowledgements. This project was supported by a project grant from Imperial Cancer Research Fund (now Cancer Research UK). We thank the collaborators in all of the PILC centres for providing their data and answering many questions about their studies: E. Brambilla, CHU Albert Michallon, Grenoble, France; A. Cariello, Ospedale Santa Maria delle Croci, Ravenna, Italy; G. Cox, St James’ Hospital, Dublin, Ireland; C. Dazzi, Ospedale Santa Maria delle Croci, Ravenna, Italy; G.

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