Handling Missing Data

Course details

statistics seminar | level: intermediate | register now
for questions related to this event, contact ugent@flames-statistics.com
affiliation: Ghent University

Abstract

The talk will introduce the different missing data patterns and mechanisms and the methods suitable for handling each type. Both Adhoc and recent methods for handling missing data will be introduced with particular attention to Multiple imputation. Examples will be presented using RStudio.

Prerequisites

Basic knowledge about regression analysis

Background readings

Flexible Imputation of Missing Data. Free online book. Stef van Buuren,

https://stefvanbuuren.name/fimd/

Fee

free

Venue

online

Instructor

Dr Emmanuel Abatih