How Long to Read Applied Categorical and Count Data Analysis

How Long Does it Take to Read Applied Categorical and Count Data Analysis?

It takes the average reader 29 hours and 20 minutes to read Applied Categorical and Count Data Analysis by Wan Tang

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

Description

Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis, Second Edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors have been teaching categorical data analysis courses at the University of Rochester and Tulane University for more than a decade. This book embodies their decade-long experience and insight in teaching and applying statistical models for categorical and count data. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without relying on rigorous mathematical arguments. The second edition covers classic concepts and popular topics, such as contingency tables, logistic regression models, and Poisson regression models, along with modern areas that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. As in the first edition, R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to immediately experiment with the data in the examples and even adapt or extend the codes to fit data from their own studies. Designed for a one-semester course for graduate and senior undergraduate students in biostatistics, this self-contained text is also suitable as a self-learning guide for biomedical and psychosocial researchers. It will help readers analyze data with discrete variables in a wide range of biomedical and psychosocial research fields. Features: Describes the basic ideas underlying each concept and model Includes R, SAS, SPSS and Stata programming codes for all the examples Features significantly expanded Chapters 4, 5, and 8 (Chapters 4-6, and 9 in the second edition Expands discussion for subtle issues in longitudinal and clustered data analysis such as time varying covariates and comparison of generalized linear mixed-effect models with GEE

How long is Applied Categorical and Count Data Analysis?

Applied Categorical and Count Data Analysis by Wan Tang is 1,699 pages long, and a total of 440,041 words.

This makes it 573% the length of the average book. It also has 538% more words than the average book.

How Long Does it Take to Read Applied Categorical and Count Data Analysis Aloud?

The average oral reading speed is 183 words per minute. This means it takes 40 hours and 4 minutes to read Applied Categorical and Count Data Analysis aloud.

What Reading Level is Applied Categorical and Count Data Analysis?

Applied Categorical and Count Data Analysis 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 Applied Categorical and Count Data Analysis?

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