Your question is Handling Missing Data. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What methods would you use to handle missing data in a dataset?
Address how you would diagnose whether values are missing completely at random, missing at random, or missing not at random. Explain when you would use deletion, single imputation, multiple imputation, weighting, or a missingness indicator, and how you would validate the resulting analysis.
Discuss the trade-offs, assumptions, and sensitivity analyses you would apply in a healthcare dataset.