2 citations · 3 across the 2 of their papers we have counts for
5 papers · 1 filter
Dynamic estimation with random forests for discrete-time survival data
Hoora Moradian, Weichi Yao, Denis Larocque +2
Time-varying covariates are often available in survival studies and estimation of the hazard function needs to be updated as new information becomes available. In this paper, we in…
Selection of Regression Models under Linear Restrictions for Fixed and Random Designs
Sen Tian, Clifford M. Hurvich, Jeffrey S. Simonoff
Many important modeling tasks in linear regression, including variable selection (in which slopes of some predictors are set equal to zero) and simplified models based on sums or d…
On the Use of Information Criteria for Subset Selection in Least Squares Regression
Sen Tian, Clifford M. Hurvich, Jeffrey S. Simonoff
Least squares (LS)-based subset selection methods are popular in linear regression modeling. Best subset selection (BS) is known to be NP-hard and has a computational cost that gro…
An Ensemble Method for Interval-Censored Time-to-Event Data
Weichi Yao, Halina Frydman, Jeffrey S. Simonoff
Interval-censored data analysis is important in biomedical statistics for any type of time-to-event response where the time of response is not known exactly, but rather only known…
Joint Latent Class Trees: A Tree-Based Approach to Modeling Time-to-event and Longitudinal Data
Ningshan Zhang, Jeffrey S. Simonoff
In this paper, we propose a semiparametric, tree based joint latent class modeling approach (JLCT) to model the joint behavior of longitudinal and time-to-event data. Existing join…