Imputation methods for missing data

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Maybe it is simple question but I want to see your opinions on this, I have small dataset of about 2000-3000 samples that were third party collected, since Physicians were collecting most of that data they most of time think like “ oh I forgot to ask this question to patient or to do this analysis who cares” problem is that 5-10% of data is missing but in different categories which makes it impossible to remove, so I wanted to check your opinion about imputation methods.

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