Big data in autism research: Methodological challenges and solutions.
Brian K Lee, Diana E Schendel, Lindsay L Shea
PMID 37596816WHAT IT FOUND
This commentary discusses why big data in autism research can be misleading due to poor data quality, confounding, and selection bias.
It offers no clinical results or therapeutic findings.
What this paper is
This is a methodological commentary discussing the challenges of using large datasets in autism research, such as data quality issues, confounding, and selection bias. It does not report original patient data, clinical trials, or therapeutic outcomes. There are no findings here to change clinical practice.