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Statistical Modeling for Biomedical Researchers

A Simple Introduction to the Analysis of Complex Data
Buch | Hardcover
404 Seiten
2002
Cambridge University Press (Verlag)
978-0-521-82061-5 (ISBN)
CHF 119,95 inkl. MwSt
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This text will enable biomedical researchers to use several advanced statistical methods that have proven valuable in medical research. The emphasis is on understanding the assumptions underlying each method, using exploratory techniques to determine the most appropriate method, and presenting results in a way that will be readily understood.
This text will enable biomedical researchers to use a number of advanced statistical methods that have proven valuable in medical research. It is intended for people who have had an introductory course in biostatistics. A statistical software package (Stata) is used to avoid mathematics beyond the high school level. The emphasis is on understanding the assumptions underlying each method, using exploratory techniques to determine the most appropriate method, and presenting results in a way that will be readily understood by clinical colleagues. Numerous real examples from the medical literature are used to illustrate these techniques. Graphical methods are used extensively. Topics covered include linear regression, logistic regression, Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measures analysis of variance. Each method is introduced in its simplest form and is then extended to cover situations in which multiple explanatory variables are collected on each study subject.

Educated at McGill University, and the Johns Hopkins University, Bill Dupont is presently Professor and Director of the Division of Biostatistics at Vanderbilt University School of Medicine. He is best known for his work on the epidemiology of breast cancer, but has also published papers on power calculations, the estimation of animal abundance, the foundations of statistical inference, and other topics.

Preface; 1. Introduction; 2. Simple linear regression; 3. Multiple linear regression; 4. Simple logistic regression; 5. Multiple logistic regression; 6. Introduction to survival analysis; 7. Hazard regression analysis; 8. Introduction to Poisson regression; 9. Multiple Poisson regression; 10. Fixed effects analysis of variation; 11. Repeated-measures analysis of variation; Index.

Erscheint lt. Verlag 28.11.2002
Zusatzinfo Worked examples or Exercises; 31 Tables, unspecified; 70 Line drawings, unspecified
Verlagsort Cambridge
Sprache englisch
Maße 180 x 255 mm
Gewicht 1028 g
Themenwelt Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
ISBN-10 0-521-82061-8 / 0521820618
ISBN-13 978-0-521-82061-5 / 9780521820615
Zustand Neuware
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