Generalised varying-coefficient models (GVC) are very important models. There are a
considerable number of literature addressing these models. However, most of the existing …

Multiparameter likelihood models (MLMs) with multiple covariates have a wide range of
applications; however, they encounter the “curse of dimensionality” problem when the …

For the semiparametric linear transformation model with covariate measurement error and
validation sampling, we propose an estimation method to estimate the covariate coefficient …

The case-cohort study design is an effective way to reduce cost of assembling and
measuring expensive covariates in large cohort studies. Recently, several weighted …

Additive hazards model is often used to complement the proportional hazards model in the
analysis of failure time data. Statistical inference of additive hazards model with time …

How to take advantage of the available auxiliary covariate information when the primary
covariate of interest is not measured is a frequently encountered question in biomedical …

Abstract Analysis of left-truncated and right-censored (LTRC) survival data has received
extensive interest. Many inference methods have been developed for the various survival …

In this chapter, we give a selective review of the nonparametric modeling methods using
Cox's type of models in survival analysis. We first introduce Cox's model (Cox 1972) and …

In large cohort studies, it often happens that some covariates are expensive to measure and
hence only measured on a validation set. On the other hand, relatively cheap but error …

Conventional hazard regression analyses frequently assume constant regression
coefficients and scalar covariates. However, some covariate effects may vary with time …