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- Development and psychometric properties evaluation of individualized patient education tool: An exploratory sequential mixed-methods study protocol
- Food insecurity and its related indicators in an Iranian population: An application of machine learning methods in data from Golestan Province
- Construction of a hierarchical linear regression prediction model for classical Chinese poetry writing ability development
- An improved ratio-cum-exponential estimator for finite population mean with properties: Applications to radiation monitoring and economic management data
- Which Small-Sample Correction Should be Used When Analyzing Stepped-Wedge Designs With Time-Varying Treatment Effects?
- Addressing Missing Data in Clinical Trials With a Hybrid Control Arm.
- Bayesian Methods Incorporating Baseline Covariates for Borrowing Historical Control Data in Randomized Clinical Trials: A Neutral Comparison Study.
- Estimating Marginal Odds Ratios for Cluster Randomized Trials: The Cluster-Level GLM.
- Choosing an Appropriate Outlier-Detection Method When Comparing Institutional Performances in Clinical Audits.
- Catalan polynomials for the Wishart-Laguerre β-ensemble
- A hybrid expert-data causal Bayesian network approach for fault diagnosis in complex industrial processes
- Seriation of Tœplitz and latent position matrices: Optimal rates and computational trade-offs
- Anticipating Continued Global Fertility Decline via Neural Forecasting
- Where, When, and How Many Bits? Scaling Laws for SGD with Stochastic Rounding
- Approximate Bayesian Fusion
- Quantum amplification of improbable futures
- Omniprediction for All Mixable Proper Losses and Beyond
- Density-Guided Bootstrap Boundaries for Latent World-Model Reinforcement Learning
- Robust-by-Design Distributional Learning from Contaminated Samples
- Near-Optimal First-Order Regret for Bandits with Feedback Graphs
- Certified Behavioral Retention for Continual Adaptation with Held-Out Anchors
- Minimax Alternating Regret for the Experts Problem and Online Convex Optimization
- Optimal Design for Multinomial Logit Model with Applications to Best Assortment Identification
- Evaluating causal indirect effects when mediators are left-censored by assay limit of quantification
- Global Testing of Gaussian Means by Combining Marginal and Conditional Evidence