Consultation hours: by appointment
- Handling of (non-ignorable) missing data
- Multiple imputation
- Analytic inference for complex survey data
Angelina Hammon is currently doing her PhD in Statistics and has been working as research assistant at the Chair of Statistics and Econometrics since 2016. She holds a Bachelor degree in Sociology and did her master studies in Survey Statistics at the University of Bamberg in the context of which she spent a semester abroad at the University of St Andrews. From February 2016 to September 2019 she was working as research associate in the methods group of the Leibniz Institute for Educational Trajectories (LIfBi). Since October 2019 she is research associate in the SOEP. Her research interests cover the appropriate handling of missing values, multiple imputation of non-ignorable missing data as well as the performance of valid inferences with complex survey data and non-probability samples.
- Hammon, A. (2022) Multiple imputation of ordinal missing not at random data, AStA Advances in Statistical Analysis.
- Hammon, A., & Zinn, S. (2020): Multiple imputation of binary multilevel missing not at random data, Journal of the Royal Statistical Society: Series C, 69, pp. 547-564.