ArticleNational science review2018
Learning causality and causality-related learning: some recent progress.
Article in National science review, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Association between cardiometabolic index and all-cause and cause-specific mortality among the general population: NHANES 1999-2018.Lipids in health and disease · 2024Article
- An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors.PLoS computational biology · 2022Article
- Inferring causal relations from observational long-term carbon and water fluxes records.Scientific reports · 2022Article
- Causal Discovery in High-dimensional, Multicollinear Datasets.Frontiers in epidemiology · 2022Article
- Synthetic data generation with probabilistic Bayesian Networks.Mathematical biosciences and engineering : MBE · 2021Article
- Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere.Frontiers in big data · 2021Article
- Closed-Form Results for Prior Constraints in Sum-Product Networks.Frontiers in artificial intelligence · 2021Article
- Yi Zeng: promoting good governance of artificial intelligence.National science review · 2020Article
- A perspective on Gaussian processes for Earth observation.National science review · 2019Article
- Generalized Score Functions for Causal Discovery.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2018Article
- Bivariate Causal Discovery and Its Applications to Gene Expression and Imaging Data Analysis.Frontiers in genetics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Identifiers
What OpenQuestion holds
Registered trials
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.