Handling Missing Data in Cleaning Workflows
Table 1
Table
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Table 1
Table
Table 1
| Missingness type | Example | Data management interpretation | Possible action |
|---|---|---|---|
| Not yet due | Day 28 outcome missing on day 10 | Expected missingness | Do not query yet; monitor due date |
| Not applicable | Pregnancy test for male participant | Structurally missing | Confirm skip logic and coding |
| Pending | Laboratory culture not yet released | Temporarily missing | Reconcile with laboratory log |
| Unknown | Participant cannot recall symptom onset date | Known unknown | Code according to CRF guidance |
| Accidental omission | Consent date blank despite completed consent | Data entry issue | Query site |
| Export problem | Variable absent from export | Structural/export issue | Review export settings |