4 papers · 1 filter
A Flexible Partially Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data
Na Lei, Mark A. Wolters, Wenqing He
We address the problem of survival regression modelling with multivariate responses and nonlinear covariate effects. Our model extends the proportional hazards model by introducing…
Boosting prediction with data missing not at random
Yuan Bian, Grace Y. Yi, Wenqing He
Boosting has emerged as a useful machine learning technique over the past three decades, attracting increased attention. Most advancements in this area, however, have primarily foc…
Fast variational Bayesian inference for correlated survival data: an application to invasive mechanical ventilation duration analysis
Chengqian Xian, Camila P. E. de Souza, Wenqing He +2
Correlated survival data are prevalent in various clinical settings and have been extensively discussed in literature. One of the most common types of correlated survival data is c…
Variational Bayesian analysis of survival data using a log-logistic accelerated failure time model
Chengqian Xian, Camila P. E. de Souza, Wenqing He +2
The log-logistic regression model is one of the most commonly used accelerated failure time (AFT) models in survival analysis, for which statistical inference methods are mainly es…