40 citations · 44 across the 5 of their papers we have counts for
6 papers
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data
Harrison T. Reeder, Sebastien Haneuse, Kyu Ha Lee
An important task in health research is to characterize time-to-event outcomes such as disease onset or mortality in terms of a potentially high-dimensional set of risk factors. Fo…
Measuring performance for end-of-life care
Sebastien Haneuse, Deborah Schrag, Francesca Dominici +2
Although not without controversy, readmission is entrenched as a hospital quality metric, with statistical analyses generally based on fitting a logistic-Normal generalized linear…
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…
SemiCompRisks: An R Package for Independent and Cluster-Correlated Analyses of Semi-Competing Risks Data
Danilo Alvares, Sebastien Haneuse, Catherine Lee +1
Semi-competing risks refer to the setting where primary scientific interest lies in estimation and inference with respect to a non-terminal event, the occurrence of which is subjec…
Bayesian Variable Selection for Multivariate Zero-Inflated Models: Application to Microbiome Count Data
Kyu Ha Lee, Brent A. Coull, Anna-Barbara Moscicki +2
Microorganisms play critical roles in human health and disease. It is well known that microbes live in diverse communities in which they interact synergistically or antagonisticall…
Hierarchical models for semi-competing risks data with application to quality of end-of-life care for pancreatic cancer
Kyu Ha Lee, Francesca Dominici, Deborah Schrag +1
Readmission following discharge from an initial hospitalization is a key marker of quality of health care in the United States. For the most part, readmission has been used to stud…