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Whole population cohorts versus sampled comparators designs for evaluating health and educational outcomes of children with inborn rare conditions: a simulation study

2026-01-11

Abstract excerpt

<h4>Background</h4> Linked administrative data covering whole populations are fundamental resources for longitudinal studies of children with rare conditions (cases) and unaffected peers (comparators). Data minimisation regulations sometimes limit the number of comparators per case (sampled comparators, SC ), with unknown impact on study findings. <h4>Methods</h4> Using Monte Carlo draws, we simulated 100 000...

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Literature Corpus work
315acbc8-341d-5dcf-9666-ba49707d1b0b
DOI
10.64898/2026.01.09.26343758
Open publication

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Whole population cohorts versus sampled comparators designs for evaluating health and educational outcomes of children with inborn rare conditions: a simulation studyDOI 10.64898/2026.01.09.26343758
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