Netherlands, Utrecht

Multiple Imputation in Practice

when 21 August 2017 - 23 August 2017
language English
duration 1 week
credits 1 ECTS
fee EUR 650

No prior programming experience with R is required; the course offers tracks for novices and experts.

Most researchers in the social and behavioural sciences have encountered the problem of missing data: It seriously complicates the statistical analysis of data, and simply ignoring it is not a good strategy. A general and statistically valid technique to analyze incomplete data is multiple imputation, which is rapidly becoming the standard in social and behavioural science research.

This 3-day course will explain a modern and flexible imputation technique that is able to preserve important features in the data. The aim of this course is to enhance participants’ knowledge in imputation methodology, and to provide a flexible solution to their incomplete data problems using R. The course will explain the principles of missing data theory, outline a step-by-step approach toward creating high quality imputations, and provide guidelines how the results can be reported. The course will use the authors' MICE package in R, and explain how to bridge to mainstream analysis software such as SPSS and Mplus.
The lectures will follow the book “Flexible Imputation of Missing Data” by Stef van Buuren (Chapman & Hall, 2012). This book is not included in the course material and has to be purchased in advance.

Prerequisites:
Familiarity to basic statistical concepts and techniques.
Participants are also requested to bring their own laptop for lab meetings.

Course leader

Dr. Gerko Vink

Target group

This course is relevant for applied researchers or statistical researchers that would like to get acquainted with the theory and practice of multiple imputation. Participants should have basic understanding of statistical techniques (such as analysis of variance and (non)linear regression) and the concept of statistical inference.
No prior programming experience with R is required; the course offers tracks for novices and experts.

This course is suitable for students at Master level, Advanced master level en PhD level.

A max. of 30 participant will be allowed in this course.

Course aim

The aim of this course is to enhance participants knowledge in imputation methodology, and to provide a flexible solution to their incomplete data problems using R.

Credits info

1 ECTS
Certificate of Attendance

Fee info

EUR 650: Course + course materials + housing
EUR 450: Course + course materials

Scholarships

Utrecht Summer School doesn't offer scholarships for this course.

Register for this course
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