6 papers
Substantive-Model-Compatible Multiple Imputation for Cox Regression with a Diverging Number of Covariates
Zhilin Zhang, Yi Li
Modern biomedical survival studies with high-dimensional genomic and clinical predictors are challenged by missing covariates. Existing methods conduct inference through penalizati…
Causal Meta-Analysis by Integrating Multiple Observational Studies with Multivariate Outcomes
Subharup Guha, Yi Li
Integrating multiple observational studies to make unconfounded causal or descriptive comparisons of group potential outcomes in a large natural population is challenging. Moreover…
A New Integrative Method for Multigroup Comparisons of Censored Survival Outcomes in Multiple Observational Studies
Subharup Guha, David C. Christiani, Yi Li
In observational studies, covariate imbalance generates confounding, resulting in biased comparisons. Although propensity score-based weighting approaches facilitate unconfounded g…
A Soft-Thresholding Operator for Sparse Time-Varying Effects in Survival Models
Yuan Yang, Jian Kang, Yi Li
We consider a class of Cox models with time-dependent effects that may be zero over certain unknown time regions or, in short, sparse time-varying effects. The model is particularl…
Bayesian Survival Analysis Using Gamma Processes with Adaptive Time Partition
Yi Li, Sumi Seo, Kyu Ha Lee
In Bayesian semi-parametric analyses of time-to-event data, non-parametric process priors are adopted for the baseline hazard function or the cumulative baseline hazard function fo…
Robust Estimation and Variable Selection for the Accelerated Failure Time Model
Yi Li, Muxuan Liang, Lu Mao +1
This paper considers robust modeling of the survival time for cancer patients. Accurate prediction can be helpful for developing therapeutic and care strategies. We propose a unifi…