FLAMES IU Course: Missing data
19, 20 and 21 February, 2020
10am - 4pm

Venue:
Vrije Universiteit Brussel
Pleinlaan 2 1050 Brussel

The course will provide an introduction to the issues raised by missing data and it will illustrate the shortcomings of ad-hoc methods like deletion, recoding, complete case analysis for 'handling' missing data. Methods like multiple imputation, inverse probability weighting and likelihood procedures for statistical analysis with missing data will be discussed and contrasted. Other topics include some accessible methods for exploring the sensitivity of inference to the missing at random assumption. Special emphasis is given to the problem of missing data into specific contexts (longitudinal studies, time-to-event studies).

Prerequisites:
To take this course, you should have a good working knowledge of the principles and practice of multiple linear regression, as well as elementary statistical inference. We will use R/Rstudio packages to demonstrate implementation of certain methods; thus, some familiarity with R is desirable.

!!! Bring your own laptop, with R installed on it !!! R can be downloaded for free from http://www.r-project.org/

Instructor:
Dr Emmanuel Abatih (Ghent University)

Price:
• PhDs and postdocs of a Flemish University: free
• Other academics: €180
• Non-profit/social sector: €300
• Private sector: €600


Please register before February 12, 2020 using the form below.
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