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researcher

J. Ioannidis

8 papers hereh-index 196204.8k citations1.2k works total

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

author position
  • sole author1
  • middle author4
  • last author2

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • stat.AP2
  • stat.ME2
  • cs.CY1
  • physics.soc-ph1
  • q-bio.NC1
  • q-bio.PE1

identity via Semantic Scholar / OpenAlex

activity
20082022
most citedThe importance of transparency and reproducibility in artificial intelligence research

533 citations · 1.1k across the 8 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

stat.ME2020

Exact Inference for Disease Prevalence Based on a Test with Unknown Specificity and Sensitivity

Bryan Cai, John P. A. Ioannidis, Eran Bendavid +1

To make informative public policy decisions in battling the ongoing COVID-19 pandemic, it is important to know the disease prevalence in a population. There are two intertwined dif…

q-bio.PE2020★ 84 cited

A Case Study in Model Failure? COVID-19 Daily Deaths and ICU Bed Utilisation Predictions in New York State

Vincent Chin, Noelle I. Samia, Roman Marchant +4

Forecasting models have been influential in shaping decision-making in the COVID-19 pandemic. However, there is concern that their predictions may have been misleading. Here, we di…

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…

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