Download e-book for kindle: 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.)

ISBN-10: 0817643680

ISBN-13: 9780817643683

ISBN-10: 081764542X

ISBN-13: 9780817645427

Statistical equipment became more and more vital and now shape fundamental a part of learn within the future health sciences. Many subtle methodologies were built for particular purposes and difficulties. This self-contained quantity, an outgrowth of an "International convention on Statistical equipment in health and wellbeing Sciences," covers a variety of subject matters bearing on new statistical equipment and novel functions within the healthiness sciences.

The chapters, written via top specialists of their respective fields, are thematically divided into the subsequent areas:

* Prognostic reviews and common epidemiology

* Pharmacovigilance

* caliber of life

* Survival analysis

* Clustering

* security and efficacy assessment

* scientific design

* types for the environment

* Genomic analysis

* Animal health

This accomplished quantity may be hugely important an of serious curiosity to the future health technological know-how neighborhood in addition to practitioners, researchers, and graduate scholars in utilized chance, statistics, and biostatistics.

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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

Example text

1994). The availability of IPD avoids bias by enabling the original measurements to be used. Systematic Review of Multiple Studies of Prognosis 13 The IPD approach is perhaps especially useful for studies with time-to-event data (for example, prognostic studies) inasmuch as such data are generally not well summarised in publications; see Riley et al. (2003). Indeed, those systematic reviews and meta-analyses of RCTs that have been performed using IPD have largely assessed time-to-event outcomes.

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. A meta-analysis using individual patient data, Submitted for publication.

05). Overlap is the proportion of overlapping category. 05). Overlap is the proportion of overlapping category. 1 (4 × 3) table from answers to the two health status questions from the parent questionnaire from the childhood leukemia study (4 × 5) table from answers to the two health status questions from the 2002 United States National General Social Survey (GSS) (2 × 2) table of cell counts at cutpoints j and k (2 × 2) table of probabilities at cutpoints j and k Table of six Kappa coefficients at all cutpoints using the childhood leukemia study.

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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 Douglas G. Altman, Marialena Trivella, Francesco Pezzella, Adrian L. Harris (auth.), Jean-Louis Auget, N. Balakrishnan, Mounir Mesbah, Geert Molenberghs (eds.)


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