… We augment a conditional likelihood with a pairwise likelihood constructed based on the
information of truncation … To estimate β, we consider the log pairwise pseudo-likelihood function …

… [26] proposed a pairwise likelihood augmented estimator for … the Cox’s regression analysis
of left-truncated failure time data … data augmentation and then present the pairwise likelihood …

… likelihood of the truncation times is ignored. To address this, in this paper, a pairwise
pseudolikelihood augmented estimation … The derived estimator is shown to be consistent and …

… augment the conditional likelihood with a pairwise likelihood constructed based on truncation
… In this section, we will present the proposed pairwise likelihood estimation procedure and …

… with measurement error under the widely used Cox model. … a pairwise likelihood method
for handling left-truncated data. … 4, we develop an augmented estimation method to improve …

… and interval-censored data under the Cox model. For … new estimation approach for analyzing
arbitrarily censored data … methodology to include the data augmentation process and the …

… (2018) proposed the pairwise likelihood-based estimation methods for the additive hazards
… stage of data augmentation. In the first stage, we introduce the pseudo-truncated data for the …

… , but also are inefficient in regression parameter estimation for fully observed … an augmented
inverse probability-weighted estimating equation for left-truncated competing risk data to …

… To allow for the information provided by the truncation times, we adopt the pairwise likelihood
method given in Kalbfleisch (1978) and Liang and Qin (2000). As in Huang and Qin (2013)…

… likelihood ratio model and the unique structure of length-biased data, we propose a pairwise
pseudo-likelihood estimating … real data sets; to study the Cox proportional hazard model’s …