u/AdTrick6872

Hello everyone! I’m currently trying to learn about mass imputation techniques for data integration, but I’m finding the topic quite challenging since I’m still new to statistics.

From what I understand, it has something to do with combining datasets and filling in missing or unobserved values using statistical methods, but I’m still confused about the overall idea, purpose, and how the techniques are actually applied in practice.

I would really appreciate it if anyone could explain it in simpler terms, share examples, recommended readings, or even practical applications. I genuinely want to learn and improve my understanding.

Thank you so much in advance!