Results 191 to 200 of about 43,396 (279)

Improving Power of the Win Ratio Analysis through Distance‐based Weights

open access: yesStatistics in Medicine, Volume 45, Issue 10-12, May 2026.
ABSTRACT The win ratio method, used to analyze composite endpoints in clinical trials, has gained substantial popularity in recent years because of its ability to prioritize components of the composite outcome. Despite gaining popularity and being extended to solve some of its issues, little work has been done to incorporate covariate information into ...
Md Rejuan Haque   +4 more
wiley   +1 more source

Predicting Win‐Loss Probabilities for Composite Time‐to‐Event Outcomes Under The Proportional Win‐Fractions Regression Model

open access: yesStatistics in Medicine, Volume 45, Issue 10-12, May 2026.
ABSTRACT For composite time‐to‐event outcomes, the win ratio as a relative measure ignores ties resulting from non‐occurrence of events, which can obscure important context in regression settings where event rates—and hence the proportion of ties—vary over time and across covariate values.
Lu Mao
wiley   +1 more source

Proportional Hazards Regression for Interval‐Censored Outcomes With an Interval‐Censored Covariate

open access: yesStatistics in Medicine, Volume 45, Issue 10-12, May 2026.
ABSTRACT Identifying predictors for viral rebound trajectories after antiretroviral therapy (ART) interruption is central to HIV cure research. Motivated by the need to determine whether the time to achieve viral suppression after ART initiation can predict the time to viral rebound following ART interruption, we investigate modeling approaches that ...
Dongdong Li   +5 more
wiley   +1 more source

Joint Frailty Mixture Cure Model for Recurrent Event Data With Dependent Censoring: An MCEM Approach

open access: yesStatistics in Medicine, Volume 45, Issue 10-12, May 2026.
ABSTRACT Advancements in modern medical technology have enabled cures for a fraction of patients while extending survival times for those who are not cured. For non‐cured patients, disease recurrence is influenced by observed covariates and unobserved individual heterogeneity (random effects).
Nasrin Sultana   +2 more
wiley   +1 more source

On the Construction of Multivariate Drought Indices: Theoretical Foundations and Practical Implications

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Drought indices represent essential tools for monitoring and evaluating drought conditions and evolution. Univariate indices employ the Probability Integral Transform to map data onto the standard Gaussian domain. Extending such a Gaussian normalization procedure to multivariate settings requires the usage of the Kendall distribution function ...
Carlo De Michele   +3 more
wiley   +1 more source

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