6 citations · 6 across the 4 of their papers we have counts for
6 papers · 1 filter
Latent Class Analysis with Semi-parametric Proportional Hazards Submodel for Time-to-event Data
Teng Fei, John Hanfelt, Limin Peng
Latent class analysis (LCA) is a useful tool to investigate the heterogeneity of a disease population with time-to-event data. We propose a new method based on non-parametric maxim…
Quantile regression on inactivity time
Lauren C. Balmert, Ruosha Li, Limin Peng +1
The inactivity time, or lost lifespan specifically for mortality data, concerns time from occurrence of an event of interest to the current time point and has recently emerged as a…
Causal Proportional Hazards Estimation with a Binary Instrumental Variable
Behzad Kianian, Jung In Kim, Jason P. Fine +1
Instrumental variables (IV) are a useful tool for estimating causal effects in the presence of unmeasured confounding. IV methods are well developed for uncensored outcomes, partic…
Quantile Regression Modeling of Recurrent Event Risk
Huijuan Ma, Limin Peng, Chiung-Yu Huang +1
Progression of chronic disease is often manifested by repeated occurrences of disease-related events over time. Delineating the heterogeneity in the risk of such recurrent events c…
Quantile Regression of Latent Longitudinal Trajectory Features
Huijuan Ma, Limin Peng, Haoda Fu
Quantile regression has demonstrated promising utility in longitudinal data analysis. Existing work is primarily focused on modeling cross-sectional outcomes, while outcome traject…
Globally adaptive quantile regression with ultra-high dimensional data
Qi Zheng, Limin Peng, Xuming He
Quantile regression has become a valuable tool to analyze heterogeneous covaraite-response associations that are often encountered in practice. The development of quantile regressi…