Assessment of wind-induced fatigue life for transmission tower-line systems incorporating joint probability distribution of wind speed and direction. [PDF]
Wu S, Liu H, Zhang J, You Y.
europepmc +1 more source
Improving Power of the Win Ratio Analysis through Distance‐based Weights
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 DNA damage response using synthetic cell painting profiles and experimental analysis. [PDF]
Seo C, Lim H, Piao Z, Koh YJ, Lee SJ.
europepmc +1 more source
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
Bivariate Copula-Based Regression for Joint Modeling of Healthcare Visits. [PDF]
Marra G, Radice R.
europepmc +1 more source
Proportional Hazards Regression for Interval‐Censored Outcomes With an Interval‐Censored Covariate
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
Evaluating the Cauchy combination test for count data. [PDF]
Alsulami H, Liverani S.
europepmc +1 more source
Joint Frailty Mixture Cure Model for Recurrent Event Data With Dependent Censoring: An MCEM Approach
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
Modelling dependent censoring in time-to-event data using boosting copula regression. [PDF]
Strömer A +3 more
europepmc +1 more source
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

