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Overview
The Statistical analysis with missing data course offered by London School of Hygiene and Tropical Medicine 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.
What you will study
- 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.
Programme Structure
The program focuses on:
- 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
- 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
- accessible methods for exploring the sensitivity of inference to the missing at random assumption
Key information
Duration
- Part-time
- 3 days
Start dates & application deadlines
- StartingApplication deadline not specified.
More details
Register your interest on the program’s website.
Language
English
Delivered
Online
Campus Location
- London, United Kingdom
Disciplines
Statistics Data Analytics View 19 other Short Courses in Statistics in United KingdomWhat students do after studying
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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
- 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.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents690 GBP / full≈ 690 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents690 GBP / full≈ 690 GBP / full
Funding
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