spring 2015
HEL-8009 Analysis of Incomplete Data and Methods for Imputation - 2 ECTS
Course content
Missing data are ubiquitous in medical research, leading to a loss of statistical power and potentially biased estimates. The aim of this course is to familiarize participants with these issues, and statistical methods for handling missing data.
Specifically the course will:
1. Introduce the issues missing data, review common jargon and argue for a principled, systematic approach
2. Briefly discuss the problems with ad-hoc approaches.
3. Introduce multiple imputation methods for handling missing data in realistically complex datasets
4. Introduce inverse probability weighting and for missing data and contrast it with imputation
5. Illustrate simple approaches for conducting sensitivity analyses for missing data. Computer practicals will use Stata.
Error rendering component
- About the course
- Campus: Tromsø |
- ECTS: 2
- Course code: HEL-8009
- Responsible unit
- Institutt for samfunnsmedisin
- Kontaktpersoner
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