Estimation and Inference for Win Measures with Multiple Ordinal Endpoints Subject to Missingness
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Yi, Barnhart, Huiman, O'Brien, Sean, Lokhnygina, Yuliya, Matsouaka, Roland A. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Estimation and Inference of the Win Ratio for Two Hierarchical Endpoints Subject to Censoring and Missing Data
by: Liu, Yi, et al.
Published: (2026)
by: Liu, Yi, et al.
Published: (2026)
Sample Size and Power Calculations With Win Measures Based on Hierarchical Endpoints
by: Huiman Barnhart, et al.
Published: (2025)
by: Huiman Barnhart, et al.
Published: (2025)
The FORSS Framework for Sample Size and Power Calculations With Win Statistics for Hierarchical Endpoints
by: Zhang, Baoshan, et al.
Published: (2026)
by: Zhang, Baoshan, et al.
Published: (2026)
Prediction with Missing Data: Target Probabilities and Missingness Mechanisms
by: Catoire, Pierre, et al.
Published: (2026)
by: Catoire, Pierre, et al.
Published: (2026)
A Reflection on the Impact of Misspecifying Unidentifiable Causal Inference Models in Surrogate Endpoint Evaluation
by: Deliorman, Gokce, et al.
Published: (2024)
by: Deliorman, Gokce, et al.
Published: (2024)
Rethinking the Win Ratio: A Causal Framework for Hierarchical Outcome Analysis
by: Even, Mathieu, et al.
Published: (2025)
by: Even, Mathieu, et al.
Published: (2025)
Identification and Inference with Invalid Instruments
by: Kang, Hyunseung, et al.
Published: (2024)
by: Kang, Hyunseung, et al.
Published: (2024)
Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
Estimation of Over-parameterized Models from an Auto-Modeling Perspective
by: Jiang, Yiran, et al.
Published: (2022)
by: Jiang, Yiran, et al.
Published: (2022)
Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment
by: Sun, Jiren, et al.
Published: (2024)
by: Sun, Jiren, et al.
Published: (2024)
Post-clustering Inference under Dependence
by: González-Delgado, Javier, et al.
Published: (2023)
by: González-Delgado, Javier, et al.
Published: (2023)
Causal Inference in Longitudinal Data under Unknown Interference
by: Wang, Ye, et al.
Published: (2021)
by: Wang, Ye, et al.
Published: (2021)
Small Sample Inference for Two-way Capture Recapture Experiments
by: Rivest, Louis-Paul, et al.
Published: (2023)
by: Rivest, Louis-Paul, et al.
Published: (2023)
Design-Based Inference for Spatial Experiments under Unknown Interference
by: Wang, Ye, et al.
Published: (2020)
by: Wang, Ye, et al.
Published: (2020)
Overlap, matching, or entropy weights: what are we weighting for?
by: Matsouaka, Roland A., et al.
Published: (2022)
by: Matsouaka, Roland A., et al.
Published: (2022)
Communication-Efficient Distributed Estimation and Inference for Cox's Model
by: Bayle, Pierre, et al.
Published: (2023)
by: Bayle, Pierre, et al.
Published: (2023)
False Discovery Control in Multiple Testing: A Brief Overview of Theories and Methodologies
by: He, Jianliang, et al.
Published: (2024)
by: He, Jianliang, et al.
Published: (2024)
Regularized Bidimensional Estimation of the Hazard Rate
by: Goepp, Vivien, et al.
Published: (2018)
by: Goepp, Vivien, et al.
Published: (2018)
Robust Rank Estimation for Noisy Matrices
by: Roy, Subhrajyoty, et al.
Published: (2025)
by: Roy, Subhrajyoty, et al.
Published: (2025)
Variance Estimation for Weighted Average Treatment Effects
by: Li, Huiyue, et al.
Published: (2025)
by: Li, Huiyue, et al.
Published: (2025)
Optimal Change Point Detection and Inference in the Spectral Density of General Time Series Models
by: Mosaferi, Sepideh, et al.
Published: (2025)
by: Mosaferi, Sepideh, et al.
Published: (2025)
On Data Thinning for Model Validation in Small Area Estimation
by: Kawano, Sho, et al.
Published: (2026)
by: Kawano, Sho, et al.
Published: (2026)
Cluster Size Matters: A Comparative Study of Notip and pARI for Post Hoc Inference in fMRI
by: Peyrouset, Nils, et al.
Published: (2025)
by: Peyrouset, Nils, et al.
Published: (2025)
Maximum Likelihood Estimation under the Emax Model: Existence, Geometry and Efficiency
by: Aletti, Giacomo, et al.
Published: (2023)
by: Aletti, Giacomo, et al.
Published: (2023)
Robust Estimation of Polychoric Correlation
by: Welz, Max, et al.
Published: (2024)
by: Welz, Max, et al.
Published: (2024)
Estimators of different delta coefficients based on the unbiased estimator of the expected proportions of agreements
by: Andrés, A. Martín, et al.
Published: (2026)
by: Andrés, A. Martín, et al.
Published: (2026)
Estimation and model errors in Gaussian-process-based Sensitivity Analysis of functional outputs
by: Sáo, Yuri Taglieri, et al.
Published: (2025)
by: Sáo, Yuri Taglieri, et al.
Published: (2025)
Estimation of conditional inequality curves and measures via estimating the conditional quantile function
by: Jokiel-Rokita, Alicja, et al.
Published: (2024)
by: Jokiel-Rokita, Alicja, et al.
Published: (2024)
Plant-Capture Methods for Estimating Population Size from Uncertain Plant Captures
by: Wang, Yiran, et al.
Published: (2024)
by: Wang, Yiran, et al.
Published: (2024)
Survey Data Integration for Distribution Function Estimation
by: Flood, Jeremy, et al.
Published: (2024)
by: Flood, Jeremy, et al.
Published: (2024)
Local Projection Inference in High Dimensions
by: Adamek, Robert, et al.
Published: (2022)
by: Adamek, Robert, et al.
Published: (2022)
Parameter Inference for Degenerate Diffusion Processes
by: Iguchi, Yuga, et al.
Published: (2023)
by: Iguchi, Yuga, et al.
Published: (2023)
Change Point Detection in Pairwise Comparison Data with Covariates
by: Han, Yi, et al.
Published: (2024)
by: Han, Yi, et al.
Published: (2024)
Zero Variance Portfolio
by: Chang, Jinyuan, et al.
Published: (2026)
by: Chang, Jinyuan, et al.
Published: (2026)
Sharp variance estimator and causal bootstrap in stratified randomized experiments
by: Yu, Haoyang, et al.
Published: (2024)
by: Yu, Haoyang, et al.
Published: (2024)
Robust and Computationally Efficient Trimmed L-Moments Estimation for Parametric Distributions
by: Poudyal, Chudamani, et al.
Published: (2025)
by: Poudyal, Chudamani, et al.
Published: (2025)
Robust Survival Estimation under Interval Censoring: Expectation-Maximization and Bayesian Accelerated Failure Time Assessment via Simulation and Application
by: Korley, J. T.
Published: (2025)
by: Korley, J. T.
Published: (2025)
On Statistical Inference for High-Dimensional Binary Time Series
by: Dai, Dehao, et al.
Published: (2025)
by: Dai, Dehao, et al.
Published: (2025)
On the Role of Surrogates in Conformal Inference of Individual Causal Effects
by: Gao, Chenyin, et al.
Published: (2024)
by: Gao, Chenyin, et al.
Published: (2024)
On self-training of summary data with genetic applications
by: Su, Buxin, et al.
Published: (2025)
by: Su, Buxin, et al.
Published: (2025)
Similar Items
-
Estimation and Inference of the Win Ratio for Two Hierarchical Endpoints Subject to Censoring and Missing Data
by: Liu, Yi, et al.
Published: (2026) -
Sample Size and Power Calculations With Win Measures Based on Hierarchical Endpoints
by: Huiman Barnhart, et al.
Published: (2025) -
The FORSS Framework for Sample Size and Power Calculations With Win Statistics for Hierarchical Endpoints
by: Zhang, Baoshan, et al.
Published: (2026) -
Prediction with Missing Data: Target Probabilities and Missingness Mechanisms
by: Catoire, Pierre, et al.
Published: (2026) -
A Reflection on the Impact of Misspecifying Unidentifiable Causal Inference Models in Surrogate Endpoint Evaluation
by: Deliorman, Gokce, et al.
Published: (2024)