Missing data

What is it about?

Long term research studies frequently have missing data. This paper explains different statistical approaches to carefully impute data values and uses examples from a long-term study of premature infants.

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Why is it important?

Carefully evaluating and imputing missing data values is an acceptable approach to a common problem. It improves the findings and value of a long term research study.