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RECORD NUMBER: 9 OF 90

OLS Field Name OLS Field Data
Main Title Biostatistics : experimental design and statistical inference /
Author Zolman, James F.
Publisher Oxford University Press,
Year Published 1993
OCLC Number 26128679
ISBN 0195078101; 9780195078107
Subjects Biometry. ; Experimental design. ; Research Design. ; Biométrie. ; Projet recherche. ; Bioestatística. ; Biometria.
Internet Access
Description Access URL
Publisher description http://catdir.loc.gov/catdir/enhancements/fy0603/92022605-d.html
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKCM  QH323.5.Z64 1993 NHEERL/GED Library/Gulf Breeze,FL 08/30/1997
Collation xv, 343 pages : illustrations ; 25 cm
Notes
Includes bibliographical references (pages 327-332) and index.
Contents Notes
Experimental design -- Anatomy of an experiment -- Anatomy of a scientific paper -- Evaluation of a scientific article -- Experimental design -- Statistical inference, analysis of variance, and post hoc analysis -- Statistical inference -- Analysis of variance (ANOVA) -- Post hoc analysis -- Statistical tests -- Parametric tests -- Special ANOVA designs and analyses -- Popular post hoc multiple comparison tests -- Nonparametric tests. Selection of statistical tests -- Research design problems and their critiques -- Introduction to design problems -- Research design problems and critiques. This textbook takes a unique approach to explaining and demonstrating how to use and interpret statistics for the physiological, medical, and life sciences. The first third of the book presents an integrated overview and introduction to experimental design and statistical inference. The rest of the book provides an extensively cross-referenced set of 100 brief critiques of sample case studies embodying all the most common statistical errors or design problems found in the biological literature. These specific cases are effective for teaching the principles of biostatistics. The examples are drawn primarily from biomedicine, yet the book is also valuable to psychologists, social scientists, environmental scientists, ecologists, and any discipline employing statistics.