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Under the safe-harbor deidentification guide you posted, all dates must be removed except for the year. If this was done on a clinical trial dataset, the data w
by invokestatic 5y ago
Under the safe-harbor deidentification guide you posted, all dates must be removed except for the year. If this was done on a clinical trial dataset, the data would be useless. Specifically for the COVID vaccine trial, the “statistic” used is the number of days between when the patient enters the study and when they get COVID. This is called TTE or time-to-event and underpins the entire study design. You need the exact date the patient entered the study AND contracted COVID to calculate the TTE value. Without this information, you have no chance of validating the results of the study.
- eminence32 5y agoFocusing on the date aspect for a minute: is it possible to adjust the data (before the deidentification process) and convert relevant absolute dates into durations? For example, is it possible (and is it useful) to adjust the data so that it says something like "patient abc123 entered the study in 2021 and 83 days after receiving a vaccine they showed started to show symptoms. Symptoms ended 3 days later"
- rvnx 5y agoThis would be great :)
- noogle 5y agoCOVID has a strong absolute-calendar trends (variants, waves), so removing the absolute dates might harm the analysis.
- eminence32 5y agoInteresting point, that makes sense. Thanks.