The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.
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.
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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 -- ...
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As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems.
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 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.
This is a concise introduction to epidemiology and biostatistics written specifically for medical students and first-time learners of clinical research methods.