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researcher

J. Rohmann

2 papers hereh-index 171.1k citations50 works total

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

author position
  • middle author2

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

fields
  • cs.CY1
  • stat.ME1

identity via Semantic Scholar / OpenAlex

most citedDirected Acyclic Graphs and causal thinking in clinical risk prediction modeling

78 citations · 78 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CY2026

Advancing Trustworthy AI in Healthcare Through Meta-Research: Results of an Interdisciplinary Design-Thinking Workshop

Valerie Bürger, Marlie Besouw, Jana Fehr +26

Meta-research and Trustworthy AI (TAI) share common goals, namely improving evidence, robustness, and transparency, yet there is very little interplay between the two fields. To in…

stat.ME2020★ 78 cited

Directed Acyclic Graphs and causal thinking in clinical risk prediction modeling

Marco Piccininni, Stefan Konigorski, Jessica L Rohmann +1

Background: In epidemiology, causal inference and prediction modeling methodologies have been historically distinct. Directed Acyclic Graphs (DAGs) are used to model a priori causa…

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