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Preregistration

Definition
AI-generated

Preregistration documents the study design, hypotheses, and analysis plan before outcomes are fully known—often via registered reports or time-stamped protocols—reducing selective reporting and post hoc analytic flexibility.

Topics
Epidemiology
Synonyms
Registered report (when peer review precedes knowing results)
URL
https://osf.io/rr/
Related
Bias FAIR Principles Genome-Wide Association Study (GWAS)

Why it matters in GWAS

Large-scale genetics benefits from transparent analysis choices (QC thresholds, phenotypes, covariates); preregistration and open protocols support reproducibility and fair comparison across studies, including secondary analyses of public summary statistics.

Example usage

"Downstream interpretation uses Preregistration to connect statistical signals with biological context."

Bias FAIR Principles Genome-Wide Association Study (GWAS) Multiple Testing Correction Quality Control (QC)
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Chambers CD, et al. (2014). Instead of ‘playing the game’ it is time to change the rules: Registered Reports at AIMS Neuroscience and beyond. AIMS Neurosci.
  • Nosek BA, et al. (2018). The preregistration revolution. Proc Natl Acad Sci USA.
  • Uffelmann E, et al. (2021). Genome-wide association studies. Nat Rev Methods Primers. https://doi.org/10.1038/s43586-021-00056-9
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