It takes the average reader 10 hours and 40 minutes to read Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R by Robert P. Hirsch
Assuming a reading speed of 250 words per minute. Learn more
The second edition of Introduction to Biostatistical Applications in Health Research delivers a thorough examination of the basic techniques and most commonly used statistical methods in health research. Retaining much of what was popular with the well-received first edition, the thoroughly revised second edition includes a new chapter on testing assumptions and how to evaluate whether those assumptions are satisfied and what to do if they are not. The newest edition contains brand-new code examples for using the popular computer language R to perform the statistical analyses described in the chapters within. You'll learn how to use Excel to generate datasets for R, which can then be used to conduct statistical calculations on your data. The book also includes a companion website with a new version of BAHR add-in programs for Excel. This new version contains new programs for nonparametric analyses, Student-Newman-Keuls tests, and stratified analyses. Readers will also benefit from coverage of topics like: Extensive discussions of basic and foundational concepts in statistical methods, including Bayes' Theorem, populations, and samples A treatment of univariable analysis, covering topics like continuous dependent variables and ordinal dependent variables An examination of bivariable analysis, including regression analysis and correlation analysis An analysis of multivariate calculations in statistics and how testing assumptions, like assuming Gaussian distributions or equal variances, affect statistical outcomes Perfect for health researchers of all kinds, Introduction to Biostatistical Applications in Health Research also belongs on the bookshelves of anyone who wishes to better understand health research literature. Even those without a great deal of mathematical background will benefit greatly from this text.
Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R by Robert P. Hirsch is 640 pages long, and a total of 160,000 words.
This makes it 216% the length of the average book. It also has 196% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 14 hours and 34 minutes to read Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R aloud.
Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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