Evidence map›Paper›PMID 34335110›Full record

ArticleJournal of machine learning research : JMLR2019

All Models are Wrong, but

Aaron Fisher, Cynthia Rudin, Francesca Dominici

Abstract read
In one paragraph

Article in Journal of machine learning research : JMLR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 335 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
335citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

335 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. AICO: Feature significance tests for supervised learning.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
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  9. Article
  10. Article
  11. Article
  12. Article
  13. Environmental Drivers of Habitat Suitability for Shortbill Spearfish (Animals : an open access journal from MDPI · 2026
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

275 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Aaron FisherTakeda Pharmaceuticals, Cambridge, MA 02139, USA.
Cynthia RudinDepartments of Computer Science and Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA.
Francesca DominiciDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.

Funding

Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Statistical Methods for the Spatio-Temporal Assessment of Social Disparities in CancerP01CA134294 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI DOMINICI, FRANCESCA, LIN, XIHONG · 2008 to 2017
$6.8M
Project 3: Cumulative Risk and Geospatial Health Disparities Related to Chemical and Non-Chemical Stressor ExposuresP50MD010428 · NIMHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI LADEN, FRANCINE · 2015 to 2020
$4.0M
Environmental Health Disparities in an Older PopulationR01MD012769 · NIMHD · YALE UNIVERSITY · PI BELL, MICHELLE L · 2017 to 2021
$3.9M
Relationship Between Multiple Environmental Exposures and CVD Incidence and Survival: Vulnerability and SusceptibilityR01ES028033 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI DOMINICI, FRANCESCA, LADEN, FRANCINE · 2018 to 2022
$3.5M
Machine Learning for Health Outcomes and Quality of Care in Low-Income PopulationsDP2MD012722 · NIMHD · STANFORD UNIVERSITY · PI ROSE, SHERRI · 2017 to 2017
$2.5M
Cardiovascular Health and Air Pollution: A National StudyR01ES024332 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI ZANOBETTI, ANTONELLA · 2015 to 2018
$2.5M
Bayesian Methods for Comparative Effectiveness Research with Observational DataR01GM111339 · NIGMS · HARVARD MEDICAL SCHOOL · PI NORMAND, SHARON-LISE TERESA · 2015 to 2018
$2.5M
Causal Inference with Interference for Evaluating Air Quality PoliciesR01ES026217 · NIEHS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZIGLER, CORWIN MATTHEW · 2016 to 2021
$2.2M
NCI NIH HHS P01 CA134294NCI NIH HHS R35 CA197449NIEHS NIH HHS R01 ES024332NIEHS NIH HHS R01 ES026217NIEHS NIH HHS R01 ES028033NIGMS NIH HHS R01 GM111339NIMHD NIH HHS DP2 MD012722NIMHD NIH HHS P50 MD010428NIMHD NIH HHS R01 MD012769
6 · The paper itself

Abstract

Variable importance (VI) tools describe how much covariates contribute to a prediction model's accuracy. However, important variables for one well-performing model (for example, a linear model

Indexed as

conditional variable importanceinterpretable modelspermutation importanceRashomontransparencyU-statistics

Identifiers

PMID34335110
PMCPMC8323609

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.