How Long to Read Multiple Imputation of Missing Data in Practice

By Yulei He

How Long Does it Take to Read Multiple Imputation of Missing Data in Practice?

It takes the average reader 7 hours and 14 minutes to read Multiple Imputation of Missing Data in Practice by Yulei He

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

Description

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis. Over the past 40 years or so, multiple imputation has gone through rapid development in both theories and applications. It is nowadays the most versatile, popular, and effective missing-data strategy that is used by researchers and practitioners across different fields. There is a strong need to better understand and learn about multiple imputation in the research and practical community. Accessible to a broad audience, this book explains statistical concepts of missing data problems and the associated terminology. It focuses on how to address missing data problems using multiple imputation. It describes the basic theory behind multiple imputation and many commonly-used models and methods. These ideas are illustrated by examples from a wide variety of missing data problems. Real data from studies with different designs and features (e.g., cross-sectional data, longitudinal data, complex surveys, survival data, studies subject to measurement error, etc.) are used to demonstrate the methods. In order for readers not only to know how to use the methods, but understand why multiple imputation works and how to choose appropriate methods, simulation studies are used to assess the performance of the multiple imputation methods. Example datasets and sample programming code are either included in the book or available at a github site (https://github.com/he-zhang-hsu/multiple_imputation_book). Key Features Provides an overview of statistical concepts that are useful for better understanding missing data problems and multiple imputation analysis Provides a detailed discussion on multiple imputation models and methods targeted to different types of missing data problems (e.g., univariate and multivariate missing data problems, missing data in survival analysis, longitudinal data, complex surveys, etc.) Explores measurement error problems with multiple imputation Discusses analysis strategies for multiple imputation diagnostics Discusses data production issues when the goal of multiple imputation is to release datasets for public use, as done by organizations that process and manage large-scale surveys with nonresponse problems For some examples, illustrative datasets and sample programming code from popular statistical packages (e.g., SAS, R, WinBUGS) are included in the book. For others, they are available at a github site (https://github.com/he-zhang-hsu/multiple_imputation_book)

How long is Multiple Imputation of Missing Data in Practice?

Multiple Imputation of Missing Data in Practice by Yulei He is 419 pages long, and a total of 108,521 words.

This makes it 141% the length of the average book. It also has 133% more words than the average book.

How Long Does it Take to Read Multiple Imputation of Missing Data in Practice Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 53 minutes to read Multiple Imputation of Missing Data in Practice aloud.

What Reading Level is Multiple Imputation of Missing Data in Practice?

Multiple Imputation of Missing Data in Practice 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 Multiple Imputation of Missing Data in Practice?

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