DC-AAPOR Book Club 2.0
Running Series
Virtual
Do you love being on the top of best practices and latest trends in our field but can’t find time for all that?
When you do table your professional reading list, ever wish you could ask the author or editor a direct question?
If you answered “yes!” or even “no, but that sounds intriguing!” to either question, your DC-AAPOR has the must-attend event series for you!
Calling all bookworms! Burrow your way into new or developing survey and public opinion research.
– Hear from the authors or editors themselves
– Take a sneak peek at details you may have missed
– Engage with others of similar interests
Having read the book is not a requirement of attending. You can use the session as an opportunity to learn about the book before you read it!
Please register for each session individually that you plan to attend.
Each session is free to attend for DC-AAPOR members.
Tuesday, December 13, 2022
12:00 – 1:00 PM ET
Virtual
Yulei He and Guangyu Zhang: Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies
Publication date: November 2021
About the book:
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.
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.
Register for this virtual event at: https://www.eventbrite.com/e/dc-aapor-book-club-20-multiple-imputation-of-missing-data-in-practice-tickets-422043813407
More information will be provided for other events as it becomes available. We look forward to seeing you at our future events!