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- Competence narrowing in AI-assisted oral English instruction: A quasi-experimental study of the spiral synergy framework
- Association of a structured prevention algorithm with nurse knowledge and device-related pressure injury severity in critical care: A pre‑post study
- Identifying knowledge gaps in a biodiversity database and their spatial determinants
- Variance and volatility swap valuation with nonlinear liquidity-feedback stochastic volatility and regime switching
- Diagnostic performance of artificial intelligence in early diagnosis of mosquito-borne viral infections: Systematic review and meta-analysis
- Probabilistic Quantification of Swing State Importance in the 2024 Electoral College
- Approximation by interpolation operators with piecewise polynomial basis functions
- Quantile regression and copula-based analysis of risk and dependence in the South African stock market
- Strong lacunary harmonic summability of fractional differences in q-rung orthopair fuzzy normed spaces
- Analysis methods and strategies for patient-reported outcomes data in clinical research
- Finite-population inference for cross-fitted estimators of treatment contrasts in stratified multistage surveys
- Many Hands Make Light Work: Long-Term Effect Inference for the Experiment Reservoir
- Estimating the Effect of a Low Nicotine Standard on Smoking Behavior in the U.S. Population
- Confidence Is Not a Promise: A Reference Audit of Typed Decision Models
- Contextual Factors Behind Income Inequality: A Predictive Analysis
- Directional Statistics on Circles and Spheres: A New Angle on Data
- Relaxed MEMs: Enhancing Borrowing in Multisource Exchangeability Models for Small Sample Applications
- Probabilistic Causal Panel Analysis
- Close Races and Similarity Bias: A Bayesian Analysis of the Ranked Ballots for the Ballon d'Or
- Anytime Valid Confidence Bands for Distribution Functions
- Symmetry Breaking Is the Price of Finite Capacity
- Dirichlet Process Mixtures within Semiparametric Bayesian Networks: A Novel Conditional Density Estimation Approach
- Testing strong exogeneity in proxy SVARs with internal synthetic proxies
- Not Just Why, but When and for Whom: Revisiting Common Estimands in Causal Inference
- Causal DAG-Guided Reinforcement Learning for Long-Term Physical Activity Maintenance: Using Prior Data to Inform Future Deployment