ReviewJournal of biomedical informatics2011
A review of causal inference for biomedical informatics.
Review in Journal of biomedical informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled 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.
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
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Characterizing treatment pathways at scale using the OHDSI network.Proceedings of the National Academy of Sciences of the United States of America · 2016Pooled it
- Article
- Opportunities for incorporating intersectionality into biomedical informatics.Journal of biomedical informatics · 2024Article
- Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning.BMC medical informatics and decision making · 2024Article
- Evaluating Large Language Models in Extracting Cognitive Exam Dates and Scores.medRxiv : the preprint server for health sciences · 2024Article
- A Comprehensive Framework for Measuring the Immediate Impact of TV Advertisements: TV-Impact.Entropy (Basel, Switzerland) · 2024Article
- Automated detection of causal relationships among diseases and imaging findings in textual radiology reports.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Assessing the effect ofDialogues in health · 2022Article
- Causal Criteria in Medical and Biological Disciplines: History, Essence, and Radiation Aspects. Report 4, Part 1: The Post-Hill Criteria and Ecolgoical Criteria.Biology bulletin of the Russian Academy of Sciences · 2022Article
- Big Data to Knowledge: Application of Machine Learning to Predictive Modeling of Therapeutic Response in Cancer.Current genomics · 2021Review
- Dominant factors of the phosphorus regulatory network differ under various dietary phosphate loads in healthy individuals.Renal failure · 2021Article
- Simplifying functional network representation and interpretation through causality clustering.Scientific reports · 2021Article
- Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks.Frontiers in artificial intelligence · 2021Article
- The emerging landscape of health research based on biobanks linked to electronic health records: Existing resources, statistical challenges, and potential opportunities.Statistics in medicine · 2020Article
- Effect of Prehospital Epinephrine on Outcomes of Out-of-Hospital Cardiac Arrest: A Bayesian Network Approach.Emergency medicine international · 2020Article
- Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects.Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data · 2019Article
- Discovering Cross-Reactivity in Urine Drug Screening Immunoassays through Large-Scale Analysis of Electronic Health Records.Clinical chemistry · 2019Article
- Metabolome-wide association study of anti-epileptic drug treatment during pregnancy.Toxicology and applied pharmacology · 2019Observational
- Association networks in a matched case-control design - Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls.Journal of biomedical informatics · 2018Article
- Learning to Personalize from Practice: A Real World Evidence Approach of Care Plan Personalization based on Differential Patient Behavioral Responses in Care Management Records.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Causality is an important concept throughout the health sciences and is particularly vital for informatics work such as finding adverse drug events or risk factors for disease using electronic health records. While philosophers and scientists working for centuries on formalizing what makes something a cause have not reached a consensus, new methods for inference show that we can make progress in this area in many practical cases. This article reviews core concepts in understanding and identifying causality and then reviews current computational methods for inference and explanation, focusing on inference from large-scale observational data. While the problem is not fully solved, we show that graphical models and Granger causality provide useful frameworks for inference and that a more recent approach based on temporal logic addresses some of the limitations of these methods.
Indexed as
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.