Like its predecessors, this edition stresses intuitive understanding of principles rather than learning by mathematical proof. Provides broad coverage of statistical procedures used in all the health science disciplines. This version contains a greater emphasis on computer applications (MINITAB command instruction is demonstrated) for most of the statistical techniques. New to this edition: computer printouts demonstrating the SAS® software package, determination of sample size to control Type I and Type II errors, the Fisher Exact Test, the Repeated Measures Design, the Mantel-Haenszel Statistic. More than 250 of the examples and exercises are based on actual data obtained directly from researchers in the health field and from reports of research findings published in health sciences literature.
This extensive update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs • A new chapter on testing and inference methods for ...
A respected introduction to biostatistics, thoroughly updated and revised The first edition of Biostatistics: A Methodology for the Health Sciences has served professionals and students alike as a leading resource...
Allied health professionals rely on Biostatistics for its high standards of statistical accuracy. It helps them develop a set of statistical tools that are relevant to their field. Now in...
A concise, engagingly written introduction to understanding statistics as they apply to medicine and the life sciences A Doody's Core Title for 2017!
Pearson's correlation between education and belief is 0.216 , so 8 13 21 53 47 100 x mu = ( 99 ) 0.2162 = 4.619 ... using a non - parametric correlation , such as Spearman's p instead , 23 you'd get a value of 0.217 rather than 0.216 .
This innovative new text emphasizes real-world public health problems and the research questions they inspire. This text provides a unique introduction to statistical concepts and methods used by working professionals during investigations.
Features: Illustrative, relevant examples and exercises incorporated throughout the book. Answers to odd-numbered exercises provided in the back of the book. (Instructors may requests answers to even-numbered exercises from the publisher.
This makes the text especially useful for those in health-science fields who have not taken a biostatistics course before.
Biostatistics for Epidemiologists is a unique book that provides a collection of methods that can be used to analyze data in most epidemiological studies.
Provides a one-stop resource for engineers learning biostatistics using MATLAB® and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while ...