Missing Data and Sample Attrition
In this chapter, we discuss sample attrition and missing variables and methods to overcome the bias on the data arising from these issues. Specifically, we outline with examples missing imputation and inverse probability weighting. Stata code written in STATA v.14 for examples is provided.
KeywordsSample attrition Missing data Multiple imputation Inverse probability weighting
References and Further Reading
- Jones, A. M., Rice, N., & Bago d’Uva, T. (2007). Applied health economics. London: Routledge Advanced Texts in Economics and Finance.Google Scholar
- Yuan, Y. C. (2010). Multiple imputation for missing data: Concepts and new development (Version 9.0). SAS Institute Inc, Rockville, MD, 49, 1–11.Google Scholar