Overview
Key facts
- University College London (UCL)'s Practical Use of Multiple Imputation to Handle Missing Data in Stata course is for researchers needing to analyse incomplete data.
- There will be an opportunity for you to discuss your own data and problem.
- You'll be using Stata in practical sessions so you'll need to be familiar with this software before you attend.
Programme Structure
Courses include:
- Imputation of a single incomplete variable
- Multivariate imputation using chained equations
- Analysis of multiply imputed data
- Compatible imputation and analysis models
- Multiple imputation in multilevel data
- Multiple imputation in data missing not at random
- Limitations of multiple imputation and reporting of analyses using multiple imputation
Key information
Duration
- Full-time
- 2 days
Start dates & application deadlines
Language
Delivered
Campus Location
- London, United Kingdom
Disciplines
Statistics Data Science & Big Data View 66 other Short Courses in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
You should be familiar with running Stata from the command line (i.e. not using menus) and be able to fit a regression model to complete data and produce simple graphs.
You don't need to have any prior knowledge of multiple imputation.
You'll need to bring your own laptop with Stata (version 12 or newer) installed. If you don't have Stata, contact the course administrator and they'll aim to provide you with a temporary copy.
Tuition Fees
-
International Applies to you
Applies to youNon-residents360 GBP / full≈ 360 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents360 GBP / full≈ 360 GBP / full
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.