Missing data

Location: 
Hasselt University
Period: 
Monday, April 10, 2017 - 10:00 to Wednesday, April 12, 2017 - 17:00
Description: 

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 cases 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).

Course outline:

Day 1:

1. Introduction

  1. What is missing data;
  2. Consequences and effects of missing data;
  3. Missing data and inference;
  4. Illustration of consequences and effects with some examples.

2. Fundamental Concepts

  1. Missing data patterns;
  2. Missing data mechanisms;
  3. Types of missing data mechanisms;
  4. Illustration with some examples.

3. Introduction to missing data methodology

  1. Ad-Hoc Methods and why not to use them;
  2. Imputation-based procedures.

Day 2:

1. Missing Data Methodology (cont’d)

  1. Visualize missing Data;
  2. Weighting procedures;
  3. Model-based procedures -likelihood methods;
  4. Sensitivity analysis.

2. Case Studies

  1. Missing data in a longitudinal study;
  2. Missing data in a survival analysis.

Day 3:

Hands-on session.

For whom: 

Virtually anyone who does statistical analysis can benefit from this course.

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/
 
Venue and timing:
10 and 11 April, 2017 from 10:00 - 17:00
12 April, 2017 from 10:00 - 13:00
Hasselt University, campus Diepenbeek, Building D room A103
 
 
Price:
•    PhDs and postdocs of a Flemish University: free
•    Other academics: €150
•    Non-profit/social sector: €250
•    Private sector: €500
 
The course is full. You can register for the waiting list.
 
Topics: 
Other
Language: 
English
Type: 
Short Course: 1 < days < 7 / frequently repeated (yearly, quarterly)
Content: 
Quantitative
Lecturer: 
Emmanuel Abatih & Karel Vermeulen
Level: 
Advanced