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), and Missing Not at Random (MNAR) 📈💡

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