How Long to Read Design and Analysis of Experiments and Observational Studies using R

How Long Does it Take to Read Design and Analysis of Experiments and Observational Studies using R?

It takes the average reader 5 hours and 40 minutes to read Design and Analysis of Experiments and Observational Studies using R by Nathan Taback

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

Description

Introduction to Design and Analysis of Scientific Studies exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model. A causal inference framework is important in design, data collection and analysis since it provides a framework for investigators to readily evaluate study limitations and draw appropriate conclusions. R is used to implement designs and analyse the data collected. Features: Classical experimental design with an emphasis on computation using tidyverse packages in R. Applications of experimental design to clinical trials, A/B testing, and other modern examples. Discussion of the link between classical experimental design and causal inference. The role of randomization in experimental design and sampling in the big data era. Exercises with solutions. Instructor slides in RMarkdown, a new R package will be developed to be used with book, and a bookdown version of the book will be freely available. The proposed book will emphasize ethics, communication and decision making as part of design, data analysis, and statistical thinking.

How long is Design and Analysis of Experiments and Observational Studies using R?

Design and Analysis of Experiments and Observational Studies using R by Nathan Taback is 329 pages long, and a total of 85,211 words.

This makes it 111% the length of the average book. It also has 104% more words than the average book.

How Long Does it Take to Read Design and Analysis of Experiments and Observational Studies using R Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 45 minutes to read Design and Analysis of Experiments and Observational Studies using R aloud.

What Reading Level is Design and Analysis of Experiments and Observational Studies using R?

Design and Analysis of Experiments and Observational Studies using 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.

Where Can I Buy Design and Analysis of Experiments and Observational Studies using R?

Design and Analysis of Experiments and Observational Studies using R by Nathan Taback is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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