Image de couverture de livre

Generalized win fraction regression for composite survival endpoints

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cao, Zhiqiang, Fang, Xi, Li, Fan
Format:	Preprint
Publié:	2026
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

While-alive regression analysis of composite survival endpoints
par: Fang, Xi, et autres
Publié: (2025)

Improving inverse probability of censoring weighting for win statistics with composite survival outcomes
par: Fang, Xi, et autres
Publié: (2026)

Sample size determination for win statistics in cluster-randomized trials
par: Fang, Xi, et autres
Publié: (2025)

Statistical inference with win statistics in cluster-randomized trials with composite outcomes
par: Fang, Xi, et autres
Publié: (2026)

Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes
par: Cao, Zhiqiang, et autres
Publié: (2025)

A comparative overview of win ratio and joint frailty models for recurrent event endpoints with applications in oncology and cardiology
par: Orué, Adrien, et autres
Publié: (2025)

Estimands and doubly robust estimation for cluster-randomized trials with survival outcomes
par: Fang, Xi, et autres
Publié: (2025)

Propensity score weighted Cox regression for survival outcomes in observational studies with multiple or factorial treatments
par: Zhao, Zixian, et autres
Publié: (2026)

Assessing mediation in cross-sectional stepped wedge cluster randomized trials
par: Cao, Zhiqiang, et autres
Publié: (2024)

Flexible survival regression with variable selection for heterogeneous population
par: Mandal, Abhishek, et autres
Publié: (2024)

Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint
par: Baumann, Mary Ryan, et autres
Publié: (2023)

Estimating equations for survival analysis with pooled logistic regression
par: Zivich, Paul N, et autres
Publié: (2025)

A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints
par: Owen, Melody, et autres
Publié: (2025)

Neural interval-censored survival regression with feature selection
par: Meixide, Carlos García, et autres
Publié: (2022)

Tree-aggregated regression for compositional data with measurement errors
par: Li, Zhenghan, et autres
Publié: (2026)

Bayesian change-plane regression
par: Ohnishi, Yuki, et autres
Publié: (2026)

Re-examining and calibrating weighted survival analysis for causal inference
par: Xu, Wenfu, et autres
Publié: (2026)

The $α$--regression for compositional data: a unified framework for standard, temporal and spatial regression models including compositional predictors
par: Tsagris, Michail, et autres
Publié: (2025)

Estimation of treatment effect in clinical trials of continuous endpoints with retrieved dropouts
par: Kang, Myeongjong, et autres
Publié: (2026)

Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis
par: Phillippo, David M., et autres
Publié: (2024)

Locally sparse estimation for simultaneous functional quantile regression
par: Hu, Boyi, et autres
Publié: (2026)

Rank-based methods for estimating landmark win probability in longitudinal randomized controlled trials with missing data
par: Zou, Guangyong, et autres
Publié: (2026)

Asymptotic theory of rerandomization for survival analysis
par: Chen, Xinyuan, et autres
Publié: (2026)

Quantifying uncertainty of individualized treatment effects in right-censored survival data: A comparison of Bayesian additive regression trees and causal survival forest
par: Kabata, Daijiro, et autres
Publié: (2025)

Multiply robust estimation for causal survival analysis with treatment noncompliance
par: Cheng, Chao, et autres
Publié: (2023)

Scalable Bayesian inference on high-dimensional multivariate linear regression
par: Cao, Xuan, et autres
Publié: (2025)

Clinical research and methodology What usage and what hierarchical order for secondary endpoints?
par: Laporte, Silvy, et autres
Publié: (2024)

Testing for sufficient follow-up in survival data with a cure fraction
par: Yuen, Tsz Pang, et autres
Publié: (2024)

Optimal subsampling for functional composite quantile regression in massive data
par: Pan, Jingxiang, et autres
Publié: (2024)

Variable selection in balance regression with applications to microbiome compositional data
par: Ma, Jing, et autres
Publié: (2023)

Jointly modeling multiple endpoints for efficient treatment effect estimation in randomized controlled trials
par: Wolf, Jack M., et autres
Publié: (2025)

Generalized random forest for extreme quantile regression
par: Vidagbandji, Lucien M., et autres
Publié: (2025)

A new class of composite GBII regression models with varying threshold for modelling heavy-tailed data
par: Li, Zhengxiao, et autres
Publié: (2022)

Bounds for the regression parameters in dependently censored survival models
par: Willems, Ilias, et autres
Publié: (2025)

Using Overlap Weights to Address Extreme Propensity Scores in Estimating Restricted Mean Counterfactual Survival Times
par: Cao, Zhiqiang, et autres
Publié: (2023)

Who's Winning? Clarifying Estimands Based on Win Statistics in Cluster Randomized Trials
par: Lee, Kenneth M., et autres
Publié: (2026)

Contrastive linear regression
par: Zhang, Boyang, et autres
Publié: (2024)

Convolution-smoothing based locally sparse estimation for functional quantile regression
par: Liu, Hua, et autres
Publié: (2025)

Bayesian $L_{\frac{1}{2}}$ regression
par: Ke, Xiongwen, et autres
Publié: (2021)

Bayesian compositional regression with flexible microbiome feature aggregation and selection
par: Saha, Satabdi, et autres
Publié: (2024)