This study aims to model pedestrian temporal violation behavior at signalized crosswalks. Video data of crossing were collected from three locations in China and used investigate the effect several factors on behavior. The was analyzed using relationship between waiting duration their endurance probabilities. A fully parametric with Weibull distribution behavior, cluster-specific heterogeneity ...

Modern cancer treatments have substantially improved cure rates and have generated a great interest in and need for proper statistical tools to analyze survival data with non-negligible cure fractions. Data with cure fractions are often complicated by dependent censoring, and the analysis of this type of data typically involves untestable parametric assumptions on the dependence of the censorin...

Semi-parametric Cox regression and parametric methods have been used to analyze survival data of cancer; however, no study has focused on the comparison of survival models in genetic association analysis of age at onset (AAO) of cancer. The Hepatocyte nuclear factor-1beta (HNF1B) gene has been associated with risk of endometrial and prostate cancers; however, no study has focused on the effect ...

A general joint modeling framework is proposed that includes a parametric stratified survival component for continuous time survival data, and a mixture multilevel item response component to model latent developmental trajectories given mixed discrete response data. The joint model is illustrated in a real data setting, where the utility of longitudinally measured cognitive function as a predic...

Cure models have been developed to analyze failure time data with a cured fraction. For such data, standard survival models are usually not appropriate because they do not account for the possibility of cure. Mixture cure models assume that the studied population is a mixture of susceptible individuals, who may experience the event of interest, and non-susceptible individuals that will never ex...

there exist a number of factors that affect the quality laser scanner. in other words, the accuracy of a terrestrial scanner is limited extensively by systematic errors and thus must be calibrated. indeed, calibration is a prerequisite for obtaining 3d precise and reliable data from point clouds. until now, several models have been proposed to improve the accuracy of laser scanner data, most of...