The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.
* Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand.

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Describes and compares a variety of statistical methods for the analysis of biomedical data. Statistical procedures are described by presenting worked examples for each type of procedure. Coverage includes: methods for comparing two groups, methods for evaluating the association between two variables, techniques for epidemiological analysis of 2x2 tables and procedures for estimation and comparison of survival curves. Presents both parametric and non-parametric procedures throughout the text. Additional topics detailed include observer agreement, standardization of rates and methods for analysis of odds ratio.

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Statistical Methods for the Analysis of Biomedical Data

Robert F. Woolson

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