Latest Research in Econometrics
75 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Econometrics
- Methodology — 10 papers
- Econometrics — 8 papers
- Meta-analysis and systematic reviews — 6 papers
- Advanced Causal Inference Techniques — 5 papers
- Electronic Health Records Systems — 5 papers
- Statistical Methods and Bayesian Inference — 4 papers
- Statistical Methods in Clinical Trials — 4 papers
- Health Systems, Economic Evaluations, Quality of Life — 3 papers
- Data-Driven Disease Surveillance — 2 papers
- Viral Infections and Outbreaks Research — 2 papers
Highest-Cited Papers
- Double robust, flexible adjustment methods for causal inference: An overview and an evaluation (1 citations)
- The AI health divide: Three challenges and recommendations to improve design, transparency, and access for low-SES communities
- 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
- Changes-in-Changes for Ordered Choice Models with Underreporting
- Learning Curve Threshold and Survivorship Bias
- Building sustainable diagnostic ecosystems for global health
- Empowering mpox prevention through agency: risk and control mechanisms in gay and bisexual men
- Reducing Regional Inequalities in Healthcare Systems Through Data, Interoperability and Artificial Intelligence: An Equity-Oriented Systemic Framework
- Bounds on Extrapolated Treatment Effects in Regression Discontinuity Designs
- Shrinkage Bayesian Causal Forest with Instrumental Variable
- Behavioral Coherence: A Method for Sensitive-Domain LLM Evaluation
- Estimating treatment-effect heterogeneity across sites, in multi-site randomized experiments with few units per site
- Frequentist prediction intervals for random-effects meta-analysis via confidence-distribution propagation
- Real-World Use of Controlled Terminologies, Ontologies, and Vocabularies for Evidence Generation Across a Large International Observational Network: Challenges and Lessons Learned From a Mixed Method Study
- Estimation of Underlying Normal Distribution Parameters From Dichotomized Data
- Causal Inference under Dynamic Selection: Time-Varying Covariates and Latent Heterogeneity
- First-Crossing Reduction and Inference for No-Rescue Effects under Deterministic Rescue
- Prioritization, resource-allocation, and sequencing methods: protocol for a systematic review with narrative synthesis
- Meta-analysis with the glmmTMB R package
- Causal inference with bipartite designs: A generalized propensity score approach