Titlebook: Regression Methods in Biostatistics; Linear, Logistic, Su Eric Vittinghoff,Stephen C. Shiboski,Charles E. Mc Book 20051st edition Springer-

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Regression Methods in Biostatistics978-0-387-27255-9Series ISSN 1431-8776 Series E-ISSN 2197-5671

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Eric Vittinghoff,Stephen C. Shiboski,Charles E. McShort and to the point so that the important issues and similarities between the methods, rather than the differences, shine through.Includes supplementary material: .Request lecturer material:

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Basic Statistical Methods, and single predictors. Although many of these should be familiar from basic statistics courses, we review some of the key ideas and methods here as background for the methods covered in the rest of the book and to introduce some basic notation

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https://doi.org/10.1007/b138825Generalized linear model; Logistic Regression; Regression analysis; Stata; Survival analysis; Variance; ap

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Exploratory and Descriptive Methods,eck for errors and anomalies; second, to understand the distribution of each of the variables on its own; and third, to begin to understand the nature and strength of relationships among variables. Errors should, of course, be corrected, since even a small percentage of erroneous data values can dra

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Basic Statistical Methods, and single predictors. Although many of these should be familiar from basic statistics courses, we review some of the key ideas and methods here as background for the methods covered in the rest of the book and to introduce some basic notation