Biostatistical Methods

Beschreibung

Comprehensive coverage of classical and modern methods ofbiostatistics Biostatistical Methods focuses on the assessment of risks andrelative risks on the basis of clinical investigations. It developsbasic concepts and derives biostatistical methods through both theapplication of classical mathematical statistical tools and moremodern likelihood-based theories. The first half of the book presents methods for the analysis ofsingle and multiple 2x2 tables for cross-sectional, prospective,and retrospective (case-control) sampling, with and withoutmatching using fixed and two-stage random effects models. The textthen moves on to present a more modern likelihood- or model-basedapproach, which includes unconditional and conditional logisticregression; the analysis of count data and the Poisson regressionmodel; and the analysis of event time data, including theproportional hazards and multiplicative intensity models. The bookcontains a technical appendix that presents the core mathematicalstatistical theory used for the development of classical and modernstatistical methods. Biostatistical Methods: The Assessment ofRelative Risks: * Presents modern biostatistical methods that are generalizationsof the classical methods discussed * Emphasizes derivations, not just cookbook methods * Provides copious reference citations for further reading * Includes extensive problem sets * Employs case studies to illustrate application of methods * Illustrates all methods using the Statistical Analysis System(r)(SAS) Supplemented with numerous graphs, charts, and tables as well as aWeb site for larger data sets and exercises, BiostatisticalMethods: The Assessment of Relative Risks is an excellent guide forgraduate-level students in biostatistics and an invaluablereference for biostatisticians, applied statisticians, andepidemiologists.

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John M. Lachin

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Biometrie Biostatistics Biostatistik Risiko Statistics Statistik

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"...recommended for graduate students and researchers inbiostatistics and epidemiology..." (StatisticalMethods in Medical Research, No.13, 2004) This is an excellent textbook for an advanced course inbiostatsitics and also an indispensable reference forbiostatisticians and epidemiologists...what makes this textbook sovaluable is that it covers the core methods first using classicalstatistical tools and then likelihood-based theories, highlightingthe continuities. Another important feature is the care and balancewith which it is drafted: the reasoning is always clear, themathematical presentation detailed but to thepoint, the exampleslinked across different chapters. (Short Book Reviews, Vol. 20, No.3, December 2000) "...an excellent guide for graduate-level students inbiostatistics and invaluable reference for biostatisticians,applied statisticians, and epidemiologists." (Mathematical Reviews,Issue 2001h) "...does a very thorough job of establishing a sound bias forthe use of biostatistical methodology." (Technometrics, February2002) "..an excellent guide for graduate-level students inbiostatistics and an invaluable reference for biostatisticians,applied statisticians, and epidemiologists." (Zentralblatt MATH,Vol. 961, 2001/11) "the book is an excellent guide" (Zentralblatt MATH, Vol.961,No.11 2001)
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