HEL-8009 Analysis of Incomplete Data and Methods for Imputation - 2 stp
To take PhD courses you need at a minimum a master's degree or equivalent, or admission to a Medical Student Research Program.
For information about how to apply for admission, go to http://uit.no/helsefak/forskning/phd/emner
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.