Latest Research in Causal Inference Methodology

Top Research Topics in Causal Inference Methodology

• Methodology — 73 papers
• Artificial Intelligence in Healthcare and Education — 26 papers
• Advanced Causal Inference Techniques — 21 papers
• Statistical Methods in Clinical Trials — 20 papers
• Econometrics — 15 papers
• Meta-analysis and systematic reviews — 12 papers
• Electronic Health Records Systems — 9 papers
• Machine Learning in Healthcare — 8 papers
• Machine Learning — 8 papers
• Artificial Intelligence — 7 papers

Highest-Cited Papers

1. Double robust, flexible adjustment methods for causal inference: An overview and an evaluation (1 citations)
2. Practical guide to structuring the Methods and Results sections in clinical and epidemiological studies (1 citations)
3. Secondary use and scholarly impact of a portfolio of clinical trials with shared individual participant level data: cross sectional study (1 citations)
4. The AI health divide: Three challenges and recommendations to improve design, transparency, and access for low-SES communities
5. Cognitive-Linguistic Network Structure of OCD Personal Narratives: A Three-Group Comparison Using TEA Networks and Recurrence Quantification Analysis
6. The RobinCar Family: R tools for robust covariate adjustment in randomized clinical trials
7. Expanding research on clinical agent data to a virtual space of location, time, and context: exploration of data structures and limitations using a pragmatic digital twin
8. Optimal Participant Allocation in Individually‐Randomized Stepped‐Wedge Clinical Trials With One or More Treatments: Extensions to Realistic Settings
9. A general framework for using two-stage meta-analysis with individual participant data to predict individualized treatment effects
10. Optimization of coarsened exact matching through random forest classification
11. Bayesian variable selection on small sample trial data via adaptive posterior-informed shrinkage prior
12. Conditional and marginal hazard ratios: accounting for unmeasured confounding in interpretation and estimation
13. Changes-in-Changes for Ordered Choice Models with Underreporting
14. Governing AI in Pharmaceutical Operations: How to decide what AI may do and whether people can use it reliably
15. AI-Enabled Prescribing in Opioid Use Disorder Care: Decision Support, Risk Scores, Large Language Model Copilots, and Digital Therapeutics (2024-2025).
16. Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration
17. Point‐of‐Care Testing Needs a Communication and Safety‐Netting Pathway
18. Reinforced-count simulation for decision calibration under over-dispersed multi-type service demand
19. Sex Disparity in Enrolment to Clinical Trials for Onchocerciasis and Trachoma
20. Data capture, collection, management, and storage systems for clinical research: A scoping review protocol

Sub-Regions

• Artificial Intelligence in Healthcare and Education — 109 papers
• Econometrics — 75 papers
• Methodology — 64 papers
• Statistical Methods and Bayesian Inference — 25 papers
• Advanced Causal Inference Techniques — 19 papers
• Statistical Methods and Inference — 9 papers