This work has been thoughtfully designed so that it serves equally well as a reference for the practitioner and as a self-contained textbook for the advanced student.<br> * Rewritten to maintain clarity and brevity while expanding the coverage of previous editions.<br> * Changes to design-related topics include increased discussion of mixed models and random effects, greater emphasis on regression and data screening, and more use of graphs throughout.<br> * Includes both graded and challenging exercises.<br> * Liberal computer discussions now supplemented with SAS and SPSS.
Medicine: general issues
Applied Statistics
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Analysis of Variance and Regression
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