Course Details
Our aim in this course is to introduce participants to some accessible methods for analysing mental health studies in the presence of missing data, but also to be aware of the pitfalls and limitations of the techniques.
We will provide a number of practical examples from our own experience of analysing data in mental health research.
We will provide step-by-step instructions for carrying out analyses in Stata with the practical sessions dedicated to hands-on analysis of mental health data sets.
Programme
(approximate timings)
Morning: Missing values in the outcome variables
| 09:30 - 10:00 |
Registration, tea and coffee |
| 10:00 - 10:05 |
Introductions and announcements |
| 10:05 - 10:35 |
Lecture 1: Introduction to the problems of missing covariates and missing outcomes in mental health research. |
| 10:35 - 10.50 |
Tea/coffee |
| 10:50 - 11:50 |
Lecture 2: Some approaches for dealing with missing values in the outcome variables. |
| 11:50 - 12:50 |
Practical 1: Analysis of the UK500 trial using Stata. |
| 12:50 - 13:40 |
Lunch |
Afternoon: Missing values in the covariates
| 13:40 - 14:40 |
Lecture 3: Multiple imputation for dealing with missing values in the covariates. |
| 14:40 - 15:40 |
Practical 2: Analysis of the PLAO cohort study using Stata. |
| 15:40 - 16.00 |
Tea/coffee |
| 16:00 - 16:50 |
Lecture 4: Pitfalls, limitation and extensions. |
|
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