In this paper, we develop a Bayesian approach to estimate a Cox proportional hazards model that allows a threshold in the regression coefficient, when some fraction of subjects are not susceptible to the event of interest. A data augmentation scheme with latent binary cure indicators is adopted to simplify the Markov chain Monte Carlo implementation. Given the binary cure indicators, the Cox cu...

A micromechanics based thermal model was developed to predict the temperature and degree of cure (DOC) distribution inside a unidirectional fiber reinforced composite during the curing process. Using the concentric cylinder assemblage (CCA) model as a representation of the composite microstructure, the effective thermodynamic properties of the composite were computed based on the fiber and matr...

CURE Clustering divides the data sample into groups by identifying few representative points from each group of the data sample. This paper presents enhanced CURE as a clustering technique for data mining, in this approach we have a specially designed pattern as representative to form enhancement in CURE clustering to make it more usable efficiently on big data. Oracle 11G is used as backend wi...

This paper presents a parallel implementation of CURE, an efficient hierarchical data clustering algorithm, using the OpenMP programming model. OpenMP provides a means of transparent management of the asymmetry and non–determinism in CURE, while our OpenMP runtime support enables the effective exploitation of the irregular nested loop–level parallelism. Experimental results for various problem ...

We propose a semiparametric method for the analysis of masked-cause failure data that are also subject to a cure. We present estimators for the failure time distribution, the cure rate, and the covariate effect on each of these, assuming a proportional hazards cure model for the time to event of interest and we use the expectation-maximization algorithm to conduct the likelihood maximization. T...

The cure kinetics of polydicyclopentadiene (pDCPD) prepared by ringopening metathesis polymerization with three different concentrations of Grubbs’ catalyst was examined using differential scanning calorimetry (DSC). The experimental data were used to test several different phenomenological kinetic models. The data are best modeled with a “model-free” isoconversional method. This analysis revea...

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...

A cure for HIV is still greatly needed and has become a global research priority. A unique subset of HIV-infected individuals who spontaneously control HIV exists, and these are known as 'elite controllers'. They may represent a natural model for a 'functional cure' in which there is long term control of viral replication and remission from symptoms of HIV infection in the absence of antiretrov...

The Students-as-Partners (SaP) paradigm has been widely recognized for its enrichment of pedagogy and research, particularly in the scholarship teaching learning; a time acute disruption to higher education, SaP model may further provide key insights into adaptation high impact practices, although changing conditions partnership require close attention. This paper reports on qualitative evaluat...