Evidence map›Paper›PMID 31565035›Full record

ArticleUncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence2018

Identification of Personalized Effects Associated With Causal Pathways.

Ilya Shpitser, Eli Sherman

Abstract read
In one paragraph

Article in Uncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. When the Ends do not Justify the Means: Learning Who is Predicted to Have Harmful Indirect Effects.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2022
    Article
  2. Article
  3. General Identification of Dynamic Treatment Regimes Under Interference.Proceedings of machine learning research · 2020
    Article
  4. Identification in Causal Models With Hidden Variables.Journal de la Societe francaise de statistique (2009) · 2020
    Article
  5. Intervening on Network Ties.Uncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence · 2019
    Article
  6. Article
  7. Estimation of Personalized Effects Associated With Causal Pathways.Uncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence · 2018
    Article
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

2 authors.

Ilya ShpitserDepartment of Computer Science Johns Hopkins University Baltimore, MD.
Eli ShermanDepartment of Computer Science Johns Hopkins University Baltimore, MD.

Funding

Next Generation Missing Data Methods in HIV ResearchR01AI127271 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI TCHETGEN TCHETGEN, ERIC JOEL · 2017 to 2021
$3.2M
Identification and Inference for Longitudinal Causal Mediation Analysis in HIVR01AI104459 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI SHPITSER, ILYA, VANDERWEELE, TYLER · 2013 to 2017
$2.0M
NIAID NIH HHS R01 AI104459NIAID NIH HHS R01 AI127271
6 · The paper itself

Abstract

Unlike classical causal inference, where the goal is to estimate average causal effects within a

Identifiers

PMID31565035
PMCPMC6764091

What OpenQuestion holds

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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.