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researcher

Jeffrey T. Leek

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • stat.AP2
  • stat.ME1
ORCID 0000-0002-2873-2671

identity via Semantic Scholar / OpenAlex

activity
20132025
most citedThe importance of transparency and reproducibility in artificial intelligence research

533 citations · 539 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ME2025

A Moment-Based Generalization to Post-Prediction Inference

Stephen Salerno, Kentaro Hoffman, Awan Afiaz +3

Artificial intelligence (AI) and machine learning (ML) are increasingly used to generate data for downstream analyses, yet naively treating these predictions as true observations c…

stat.AP2020★ 533 cited

The importance of transparency and reproducibility in artificial intelligence research

Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny +17

In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening. However, the lack of detailed methods and computer code undermines…

stat.AP2013★ 6 cited

Empirical estimates suggest most published medical research is true

Leah R. Jager, Jeffrey T. Leek

The accuracy of published medical research is critical both for scientists, physicians and patients who rely on these results. But the fundamental belief in the medical literature…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.