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Simulated data used in "The importance of censoring in competing risks analysis of the subdistribution hazard"

<p>The simulated data used for analysis in "The importance of censoring in competing risks analysis of the subdistribution hazard". Simulated using the method described in Additional file 1.<br> <br> <strong>Warning: Large file.</strong> Contains 1000 datasets of 300 observations each, for each of 105 parameter combinations (31,500,000 rows). Some programs (e.g. Excel) will not be able to open it in full.</p> <p>csv file with columns:</p> <p><strong>p.comp:</strong> risk of the competing event in exposure group A for this scenario [0 to 0.30 in increments of 0.05]<br> <strong>lnb.cens:</strong> log(hazard ratio) for loss to follow-up in old versus young individuals for this scenario [0 to 1 in increments of 0.25]<br> <strong>lnb.evt:</strong> log(subdistribution hazard ratio) for the event of interest in exposure group B vs group A for this scenario [0, 0.5, 1]<br> <strong>sim:</strong> ID of the simulated dataset for this scenario [1-1000]<br> <strong>exposure:</strong> exposure group (0 = A, 1 = B) of this individual<br> <strong>age:</strong> age group (0 = young, 1 = old) of this individual<br> <strong>time:</strong> time-to-event or censoring for this individual<br> <strong>evtcode:</strong> event type (0 = censoring, 1 = event of interest, 2 = competing event)<br> <strong>censcode:</strong> type of censoring (1 = end-of-study, 2 = loss to follow-up)</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

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