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2017
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Data Science: Multiple Imputation in Practice

Organizing institution
Utrecht University, Faculty of Social and Behavioural Sciences (UU)
Course code
S28
Course fee (incl. housing)
€ 650
Level
Master level

This 3-day course teaches you the basics in solving your own missing data problems appropriately. Participants will learn how to form imputation models, how to model non-response, how to use diagnostics to inspect the imputed values, how to obtain valid inference on incomplete data and how to avoid many of the pitfalls associated with real-life missing data problems.

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.

This course is part of three courses in the Summer School Data Science specialization taught by UU’s department of Methodology & Statistics. Please see here [link] for more information about the full specialization. This course can also be taken separately.

Summer School Data Science specialization:
Data Science: Statistical Programming with R (S24)
Data Science: Multiple Imputation in Practice (S28)
Data Science: Data Analysis and Visualization (S31)

Upon completing all three courses in the specialization, students can obtain a certificate. Each course may also be taken separately.

Tags: incomplete data analysis, multiple imputation, missing data, statistics, programming, r, inference.

» Download the day-to-day programme (PDF)

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COURSE LEADER

Dr. Gerko Vink

LECTURERS

Prof. dr. Stef van Buuren (Netherlands Organization for Applied Scientific Research (TNO) and Utrecht University), dr. Gerko Vink (Utrecht University)

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.

STUDY LOAD

Three days (09.00 – 17.00 hrs.)

FEE

• € 650 - Course + course materials + housing
• € 450 - Course + course materials

Tuition for PhD students from the Faculty of Social and Behavioural Sciences will be funded by the Graduate School of Social and Behavioural Sciences.

Housing is available till Friday 25th of August.

DISCOUNTS AND COMBINATIONS
» Overview of all available discounts

SCHOLARSHIPS

Utrecht Summer School does not offer scholarships for this course.

MORE INFORMATION

Marianne Geelhoed – ms.graduate.program@uu.nl

» Contact Utrecht Summer School

REGISTRATION

Deadline for registration: 07 August 2017

Application closed