This article discusses the regression analysis of bivariate current status or case I interval‐
censored failure time data under the marginal proportional hazards model. Several …

Evaluation of transplant benefits with the US Scientific Registry of Transplant Recipients by
semiparametric regression of mea Page 1 The Annals of Applied Statistics 2024, Vol. 18, No. 3 …

We propose using the local kernel regression method to estimate the conditional mean
function of a panel count model with time-varying coefficients. A partial log-likelihood with a …

In this study, we propose a model averaging approach to estimating the conditional
quantiles based on a set of semiparametric varying coefficient models. Different from …

Varying coefficient models have been studied for many years, and local kernel estimation is
an important method to estimate the coefficient functions. Since same bandwidth parameter …

Competing risk data appear widely in modern biomedical research. In the past two decades,
cause-specific hazard models are often used to deal with competing risk data. There is no …

This article discusses regression analysis of multivariate current status failure time data for
which the observation time may be related to the underlying survival time. A local partial …

We propose a new class of semiparametric regression models of mean residual life for
censored outcome data. The models, which enable us to estimate the expected remaining …

This document discusses some aspects of modeling multivariate data in the context of
regression analysis, in particular when outcomes are of mixed type (continuous, linear …

Panel count data occur in many fields including clinical, demographical and industrial
studies and an extensive literature has been established for their regression analysis …