Missing data can be a common challenge in research studies, but fear not! Understanding the nature of missing data is essential for accurate analysis and robust conclusions.
Introducing the “Handling Missing Data Cheat Sheet” by TUNECT CRO, a valuable resource that sheds light on the different types of missing data:
- Missing Completely at Random (MCAR)
- Missing at Random (MAR)
- Missing Not at Random (MNAR)