Biostatistics

"Excellent discussion of experimental design and statistical inference. Includes good examples."--Thomas Fairchild, University of New Hampshire, Durham"Well-written! Covers the material I want to cover."--Jane Keller-Byrne, Medical College of Ohio"Novel in its presentation of the material."--Edward Meydrech, University of Mississippi Medical Center"Very useful for the Ph.D. students in our school, in particular in their qualifying phase of doctoral studies."--Jerrold Michael, University of Hawaii"As healthcare research assumes a renewed importance in this country, Zolman's text provides solid guidance through the concepts and methodologies to make students better researchers and consumers of research."--Roger Ritvo, University of New Hampshire"Well-written! Good examples for the students in the biological sciences."--Beverly Vilicer, University of Massachusetts"Good discussion of basic concepts in methodology and statistics. The section on design problems and critique is especially good."--David Katerndahl, University of Texas"An interesting and fresh approach--definitely fills a need in the literature."--Paul Jones, Case Western Reserve University"The book has many strong points, including the outstanding collection of well-presented, real examples." --Choice"Here is a book for experimental biologists who design and interpret their own experiments as well as critically evaluate articles and papers in their field....Has some good features. There is much to be learned from the research design problems....The figures, tables, and flow charts in the first part of the book are helpful and great for reference....The intended audience of experimental biologists will gain much from this book." --Journal of the AmericanStatistical Association

• Introduction ; SECTION 1: EXPERIMENTAL DESIGN ; 1. The anatomy of an experiment ; 2. The anatomy of a scientific paper ; 3. Evaluation of a scientific article ; 4. Experimental Design ; SECTION 2: STATISTICAL INFERENCE, ANALYSIS OF VARIANCE AND POST-HOC ; 5. Statistical inference ; 6. Analysis of variance (ANOVA) ; 7. Post-hoc analysis ; SECTION 3: STATISTICAL TESTS ; 8. Parametric tests ; 9. Special ANOVA designs and analyses ; 10. Popular post-hoc multiple comparison tests ; 11. Nonparametric tests ; 12. Selection of statistical tests ; SECTION 4: RESEARCH DESIGN PROBLEMS AND THEIR CRITIQUES ; Research Design Problem: Sample ; Topic Index of Research Design Problems ; Postscript ; Appendix ; References