Health AI Central
Peer-Reviewed Publication
Eur J Epidemiol2026October 12, 2026Published Erratum

Correction: Re: Lin et al., "On the reported methodology in published TriNetX-based studies: an analysis of impossible index event designs".

Sarah E Williford1, K Arnold Chan2, Jeffrey S Brown1
1TriNetX, Cambridge, MA, USA.
2TriNetX, Cambridge, MA, USA. karnold.chan@trinetx.com.
PubMed DOI

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.