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Biostatistics for Medical and Biomedical Practitioners

Full title: Biostatistics for Medical and Biomedical Practitioners
ISBN: 9780128170847
ISBN 10: 0128170840
Authors: Hoffman, Julien I. E.
Publisher: Academic Press
Edition: 2
Num. pages: 642
Binding: Kindle Edition
Language: en
Published on: 2019

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Synopsis

Basic Biostatistics For Medical And Biomedical Practitioners, Second Edition, Makes It Easier To Plan Experiments, With Emphasis On Sample Size. It Also Shows What Choices Are Available When Simple Tests Are Unsuitable, And Offers Investigators An Overview Of Complex Tests That They Will Not Do On Their Own, But Need To Know How They Work. The Second Edition Presents A New Revised And Enhanced Version Of The Chapters, Taking Into Consideration New Developments And Tools Available Recently, And Discusses Topics Such As Basic Aspects Of Statistics, Continuous Distributions, Hypothesis Testing, Discrete Distributions, Probability In Epidemiology And Medical Diagnosis, Comparing Means, Regression And Correlation. The Book Is Based On The Author's 40+ Years Of Teaching Statistics To Medical Fellows And Biomedical Researchers Across A Wide Range Of Fields, And It Is A Valuable Source For Researchers Who Need To Understand More About Biostatistics To Apply To Their Work. Basic Biostatistics For Medical And Biomedical Practitioners, Second Edition Is A Valuable Source For Students And Researchers Looking To Expand Or Refresh The Understanding Of Statistics As It Applies To The Biomedical And Research Fields. Introduces Procedures Such As Multiple Regression, Poisson Distribution, Binomial And Multinomial Distributions, Variance Analysis, As Well As Designing And Sampling Clinical Trials Presents A New Section On Ancova Gives References To Free Online Tests Each Statistical Inferential Test Is Followed Immediately By A Problem, To Give Readers, The Opportunity To Perform The Test And Interpret It Includes Over 200 Diagrams, Which Enables The Reader To Visualize The Results Discusses Nhst Testing In Detail, Its Disadvantages And How To Think About Probability; The Unsafety Of Accepting P