There has been increasing interest in applying Bayesian nonparametric methods in large
samples and high dimensions. As Markov chain Monte Carlo (MCMC) algorithms are often …

We propose new expectation–maximization algorithms to analyze current status data under
two popular semiparametric regression models: the proportional hazards (PH) model and …

The proportional hazards model (PH) is currently the most popular regression model for
analyzing time-to-event data. Despite its popularity, the analysis of interval-censored data under …

Our previous studies demonstrated that the natural compound emodin blocks the tumor-promoting
feedforward interactions between cancer cells and macrophages, and thus …

Near-infrared spectroscopy (NIRS) analysis technology has important research and
application value in the inspection of agricultural product quality due to its nondestructive …

The proportional hazards model is widely used to deal with time to event data in many fields.
However, its popularity is limited to right-censored data, for which the partial likelihood is …

Hyperspectral imaging technology (HSI) is considered to be a promising technology to detect
and predict seed viability quickly and without damage. This research aimed to use HSI …

Aiming at the rapid identification of seed viability of Sophora japonica, different aging grades
and imbibition states were proposed as the research focus. The hyperspectral data of the …

Interval‐censored data occur naturally in many fields and the main feature is that the failure
time of interest is not observed exactly, but is known to fall within some interval. In this paper, …

Current status data are a type of interval-censored event time data in which all the individuals
are either left or right censored. For example, our motivation is drawn from a cross-…