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 for learning how to apply statistical methods to the biomedical sciences. This substantially revised Second Edition brings the book into the twenty-first century for today’s aspiring and practicing medical scientist.
This versatile reference provides a wide-ranging look at basic and advanced biostatistical concepts and methods in a format calibrated to individual interests and levels of proficiency. Written with an eye toward the use of computer applications, the book examines the design of medical studies, descriptive statistics, and introductory ideas of probability theory and statistical inference; explores more advanced statistical methods; and illustrates important current uses of biostatistics.
New to this edition are discussions of
Enhanced by a companion Web site providing data sets, selected problems and solutions, and examples from such current topics as HIV/AIDS, this is a thoroughly current, comprehensive introduction to the field.
This edition also includes free access to JMP® Student Subscription (a $29.95 value). New cases based on COVID-19 highlight the importance and practical applications of biostatistics for addressing the pandemic.
This book presents a multidisciplinary survey of biostatics methods, each illustrated with hands-on examples. It introduces advanced methods in statistics, including how to choose and work with statistical packages.
Study designs -- Quantifying the extent of disease -- Summarizing data collected in the sample -- The role of probability -- Confidence interval estimates -- Hypothesis testing procedures -- Power and sample size determination -- ...
This new third edition of BIOSTATISTICS AND EPIDEMIOLOGY serves as the roadmap to understanding these complex and important topics.
Since the publication of the first edition, Biostatistics and Epidemiology has attracted loyal readers from across specialty areas in the biomedical community.
Journal of the American Medical Association, 189, 113–120. Rothman, K. J. and Greenland, S. (1998). Modern Epidemiology. Lippincott Williams & Wilkins Publishers, Philadelphia, PA, 2nd ed. Rubin, D. B. (1987).
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 ...
This is a concise introduction to epidemiology and biostatistics written specifically for medical students and first-time learners of clinical research methods.
This book has always been meant for use by advanced students who have not previously had an introductory biostatistics course - material often presented in a one-semester course - or by busy professionals who need to learn the basics of ...
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 .