This guide to biostatistics takes an entertaining approach. Students should benefit not only from the humorous aspects, but also the in-depth discussions. Topics include: data basics - normal distribution, probability, statistical inference; analysis of variance - t-test, paired t-test, one-way, factorial, and repeated-measures ANOVA; simple and multiple regression, regression and ANOVA, correlation, and factor analysis; and nonparametric statistics - tests of significance for categorical frequency data and ranked data, measures of association for categorical data and ranked data.
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.
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 -- ...
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 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.
J. Biopharm. Stat. 19, 803–817 (2009) Szarfman, A., Machado, S., O'Neill, R.: Use of screening algorithms and computer ... J. Chem. Info. Model. 46,471–477 (2006) Wishart, D.S., Yang, R., Arndt, D., Tang, P., Cruz, J.: Dynamic cellular ...
Rather than provide detailed mathematics for each of these methods, the book emphasizes what healthcare practitioners need to know to interpret and incorporate the latest biomedical research into their practices.
Written for undergraduate and graduate students with little or no mathematical background, Biostatistics for Population Health: A Primer offers current and future health professionals a clear, and accessible approach to learning the basic ...
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 book is intended to complement first-year statistics and biostatistics textbooks. The main focus here is on ideas, rather than on methodological details.
Back to the basics — get up to speed on math and statistics concepts, find advice on selecting statistical software, and get an overview of clinical research The deal with data — find out how to collect data properly, summarize it ...