Friday, December 31, 2010

Analysis of Infectious Disease Data

Analysis of Infectious Disease Data



Author: N.G. Becker
Edition: 1
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 0412309904



Analysis of Infectious Disease Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)


The analysis of infectious disease data requires separate attention because standard methods of statistical inference cannot be applied directly. Medical books Analysis of Infectious Disease Data . The reasons for this are, that infectious disease data are highly dependent and, that the infection process is only partially observable Medical books Analysis of Infectious Disease Data, 9780412309908. Analysis of Infectious Disease Data, ISBN-13: 9780412309908, ISBN-10: 0412309904

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Download link for Analysis Of Infectious Disease Data By Niels G. Becker Hardcover Book (engli

Analysis of Infectious Disease Data, ISBN-13: 9780412309908, ISBN-10: 0412309904

author ng becker format hardback language english publication year 01 05 1989 series monographs on applied probability statistics subject medicine subject 2 medical nursing ancillary services title analysis of infectious disease data author becker niels g publisher chapman hall publication date may 01 1989 pages 234 binding hardcover edition 1 st dimensions 5 75 wx 8 75 hx 0 50 d isbn 0412309904 subject mathematics probability statistics general brand new hardcover all orders get full access

Categories: Statistics, Epidemiology->Statistical methods, Communicable diseases. Contributors: NG Becker - Author. Format: Hardcover

Categories: Statistics, Epidemiology->Statistical methods, Communicable diseases. Contributors: NG Becker - Author. Format: Hardcover



Medical Book Analysis of Infectious Disease Data



The reasons for this are, that infectious disease data are highly dependent and, that the infection process is only partially observable. In this book these difficulties are overcome by making appropriate model assumptions, by incorporating into the analysis the known mechanism of disease spread by means of a model and thus obtaining a more efficient analysis as well as directing attention at epidemiologically meaningful parameters.

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