Course dates: 17 - 19 June 2019
A short course taught in London by statisticians from the Department of Medical Statistics, and part of the School's Centre for Statistical Methodology.
Missing data frequently occurs in both observational and experimental research. They lead to a loss of statistical power, but more importantly, may introduce bias into the analysis. In this course we adopt a principled approach to handling missing data, in which the first step is a careful consideration of suitable assumptions regarding the missing data for a given study. Based on this, appropriate statistical methods can be identified that are valid under the chosen assumptions. The course will focus particularly on the practical use of multiple imputation (MI) to handle missing data in realistic epidemiological and clinical trial settings, but will also include an introduction to inverse probability weighting methods and new developments which combine these with MI.
During the course participants will receive a copy of the recently published book "Multiple imputation and its application" by Carpenter and Kenward.
Who should apply?
Epidemiologists, biostatisticians and other health researchers with strong quantitative skills and experience in statistical analysis. Stata will be used for the computer practicals, and so familiarity with the package is highly desirable, although full Stata code and solutions will be provided.
The fee for 2019 is £650.
The course will:
- provide an introduction to the issues raised by missing data, and the associated statistical jargon (missing completely at random, missing at random, missing not at random)
- illustrate the shortcomings of ad-hoc methods for 'handling' missing data
- introduce multiple imputation for statistical analysis with missing data
- compare and contrast this with other methods, in particular inverse probability weighting and doubly robust methods, and
- to introduce accessible methods for exploring the sensitivity of inference to the missing at random assumption
Through computer practicals using Stata, participants will learn how to apply the statistical methods introduced in the course to realistic datasets.
Course Certificate and Assessment
There will be no formal assessment, but participants will receive a Certificate of Attendance.
Applying for this course
We are no longer accepting applications for 2019.
Please read LSHTM's Admissions policies prior to submitting your application.
The student is responsible for obtaining any visa or other permissions to attend the course, and is encouraged to start the application process as early as possible as obtaining a visa for the UK can sometimes take a long time. The Short Courses team can provide supporting documentation if requested.
Accommodation and meals
A list of hotels located in the vicinity of LSHTM, along with further resources for short term accommodation, can be found on our accommodation pages. Tea and coffee will be provided during breaks. Lunch vouchers for the LSHTM canteen will also be available.
Evening meals are not catered for at LSHTM, however there is a large choice of restaurants, cafés and shops nearby.
- If you have been offered a place on the course you will not be able to register without bringing formal ID (Passport) and without having obtained the correct visa if required.
- It is essential that you read the current visa requirements for short course students.
- LSHTM may cancel courses two weeks before the first day of the course if numbers prove insufficient. In those circumstances, course fees will be refunded.
- LSHTM cannot accept responsibility for accommodation, travel and other losses incurred as a result of the course being cancelled.