How Long to Read Statistical Meta-analysis Using R and Stata

How Long Does it Take to Read Statistical Meta-analysis Using R and Stata?

It takes the average reader 9 hours and 12 minutes to read Statistical Meta-analysis Using R and Stata by Ding-Geng Chen

Assuming a reading speed of 250 words per minute. Learn more

Description

Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; instead the reader is taken by the hand and shown around some analyses, graphics, and simulations directly relating to meta-analysis... A useful hands-on guide for practitioners who want to familiarize themselves with the fundamentals of meta-analysis and get started without having to plough through theorems and proofs. --Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second Edition provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R/Stata. The authors develop analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata implementation so that they can use these two popular software packages to analyze their own meta-data. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages and functions. What's New in the Second Edition: Adds Stata programs along with the R programs for meta-analysis Updates all the statistical meta-analyses with R/Stata programs Covers fixed-effects and random-effects MA, meta-regression, MA with rare-event, and MA-IPD vs MA-SS Adds five new chapters on multivariate MA, publication bias, missing data in MA, MA in evaluating diagnostic accuracy, and network MA Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R or Stata) in public health, medical research, governmental agencies, and the pharmaceutical industry.

How long is Statistical Meta-analysis Using R and Stata?

Statistical Meta-analysis Using R and Stata by Ding-Geng Chen is 544 pages long, and a total of 138,176 words.

This makes it 184% the length of the average book. It also has 169% more words than the average book.

How Long Does it Take to Read Statistical Meta-analysis Using R and Stata Aloud?

The average oral reading speed is 183 words per minute. This means it takes 12 hours and 35 minutes to read Statistical Meta-analysis Using R and Stata aloud.

What Reading Level is Statistical Meta-analysis Using R and Stata?

Statistical Meta-analysis Using R and Stata 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.

Where Can I Buy Statistical Meta-analysis Using R and Stata?

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