How Long to Read Bayesian Approaches in Oncology Using R and OpenBUGS

How Long Does it Take to Read Bayesian Approaches in Oncology Using R and OpenBUGS?

It takes the average reader 3 hours and 14 minutes to read Bayesian Approaches in Oncology Using R and OpenBUGS by Atanu Bhattacharjee

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

Description

Bayesian Approaches in Oncology Using R and OpenBUGS serves two audiences: those who are familiar with the theory and applications of bayesian approach and wish to learn or enhance their skills in R and OpenBUGS, and those who are enrolled in R and OpenBUGS-based course for bayesian approach implementation. For those who have never used R/OpenBUGS, the book begins with a self-contained introduction to R that lays the foundation for later chapters. Many books on the bayesian approach and the statistical analysis are advanced, and many are theoretical. While most of them do cover the objective, the fact remains that data analysis can not be performed without actually doing it, and this means using dedicated statistical software. There are several software packages, all with their specific objective. Finally, all packages are free to use, are versatile with problem-solving, and are interactive with R and OpenBUGS. This book continues to cover a range of techniques related to oncology that grow in statistical analysis. It intended to make a single source of information on Bayesian statistical methodology for oncology research to cover several dimensions of statistical analysis. The book explains data analysis using real examples and includes all the R and OpenBUGS codes necessary to reproduce the analyses. The idea is to overall extending the Bayesian approach in oncology practice. It presents four sections to the statistical application framework: Bayesian in Clinical Research and Sample Size Calcuation Bayesian in Time-to-Event Data Analysis Bayesian in Longitudinal Data Analysis Bayesian in Diagnostics Test Statistics This book is intended as a first course in bayesian biostatistics for oncology students. An oncologist can find useful guidance for implementing bayesian in research work. It serves as a practical guide and an excellent resource for learning the theory and practice of bayesian methods for the applied statistician, biostatistician, and data scientist.

How long is Bayesian Approaches in Oncology Using R and OpenBUGS?

Bayesian Approaches in Oncology Using R and OpenBUGS by Atanu Bhattacharjee is 188 pages long, and a total of 48,504 words.

This makes it 63% the length of the average book. It also has 59% more words than the average book.

How Long Does it Take to Read Bayesian Approaches in Oncology Using R and OpenBUGS Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 25 minutes to read Bayesian Approaches in Oncology Using R and OpenBUGS aloud.

What Reading Level is Bayesian Approaches in Oncology Using R and OpenBUGS?

Bayesian Approaches in Oncology Using R and OpenBUGS is suitable for students ages 10 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 Bayesian Approaches in Oncology Using R and OpenBUGS?

Bayesian Approaches in Oncology Using R and OpenBUGS by Atanu Bhattacharjee 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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